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Copyright holder: European Environment Agency (EEA).","langeng":"License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Copyright holder: European Environment Agency (EEA)."}],"op5":["1","0","2"],"measure_Timeliness":"T+1 year","lineageObject":{"default":"Methodology\nThe indicator methodology is described in the SDG 2.5.2 Indicator Metadata document at https://unstats.un.org/sdgs/metadata/files/Metadata-02-05-02.pdf. \nPopulation data is sourced from the FAO DAD-IS database.\nFor extant breeds, risk status is categorised using reported population data. Breeds which fall into the categories of ‘critical’, ‘endangered’ or ‘vulnerable’ are classed as being ‘at risk’. A breed is classed as being ‘not at risk’ if population data exists, but it does not fall into any of the at-risk categories. A breed is classed as being of ‘unknown’ risk where no population data is reported, or where there is a gap of more than ten years in reporting of population data.\n\nAccuracy and uncertainties\nThe proportion of local breeds with unknown status indicates that countries need to further develop or complement their inventories and monitoring schemes.","langeng":"Methodology\nThe indicator methodology is described in the SDG 2.5.2 Indicator Metadata document at https://unstats.un.org/sdgs/metadata/files/Metadata-02-05-02.pdf. \nPopulation data is sourced from the FAO DAD-IS database.\nFor extant breeds, risk status is categorised using reported population data. Breeds which fall into the categories of ‘critical’, ‘endangered’ or ‘vulnerable’ are classed as being ‘at risk’. A breed is classed as being ‘not at risk’ if population data exists, but it does not fall into any of the at-risk categories. A breed is classed as being of ‘unknown’ risk where no population data is reported, or where there is a gap of more than ten years in reporting of population data.\n\nAccuracy and uncertainties\nThe proportion of local breeds with unknown status indicates that countries need to further develop or complement their inventories and monitoring schemes."},"publisherOrgForResourceObject":{"default":"European Environment Agency","langeng":"European Environment Agency"},"op0":["1","0","2"],"th_eea-stat-reference-period":[{"langeng":"Calendar year","default":"Calendar year","link":"https://www.eea.europa.eu/stat-reference-period/1"}],"mainLanguage":"eng","docType":"metadata","documentStandard":"iso19115-3.2018","isOpenData":"false","metadataIdentifier":"50f4e796-38fa-46b5-8ea7-24a21b03f491","th_regions_tree":{"default":["EU27 (from 2020)"],"key":["http://www.naturalearthdata.com/ne_admin#EU/EU27_2020"]},"uuid":"50f4e796-38fa-46b5-8ea7-24a21b03f491","th_eea-topics_tree":{"default":["Agriculture 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Organization of the United Nations","url":"https://www.fao.org/dad-is/data/en/"}],"valid_inspire":"-1","contact":[{"address":"Kongens Nytorv 6, Copenhagen, K, 1050, Denmark","website":"","organisationObject":{"default":"European Environment Agency","langeng":"European Environment Agency"},"phone":"","email":"sdi@eea.europa.eu","role":"pointOfContact","individual":"","logo":"","position":""}],"OrgForResourceObject":[{"default":"European Environment Agency","langeng":"European Environment Agency"},{"default":"European Environment Agency (EEA)","langeng":"European Environment Agency (EEA)"}],"groupPublished":["all","intranet","SDI_INTERNAL"],"th_eea-categories_tree":{"default":["statistical data","tabular data"],"key":["https://www.eea.europa.eu/categories/2","https://www.eea.europa.eu/categories/3"]},"isPublishedToGuest":"false","th_gemet_tree":{"default":["agriculture","animal husbandry","animal husbandry^farm animal","animal husbandry^farm animal^livestock","animal husbandry^farm 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PM10, PM2.5, O3, NO2, NOx and BaP spatial estimates and their uncertainties\" https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-products/etc-he-reports/etc-he-report-2023-3-air-quality-maps-of-eea-member-and-cooperating-countries-for-2021-pm10-pm2-5-o3-no2-nox-and-bap-spatial-estimates-and-their-uncertainties.","langeng":"The data set provides values for the human health related indicator of PM10 (annual average, 90.4 percentile of daily means) (annual average concentration) at 1 km2 grid combining monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. 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PM10, PM2.5, O3, NO2, NOx and BaP spatial estimates and their uncertainties\" https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-products/etc-he-reports/etc-he-report-2023-3-air-quality-maps-of-eea-member-and-cooperating-countries-for-2021-pm10-pm2-5-o3-no2-nox-and-bap-spatial-estimates-and-their-uncertainties."},"isHarvested":"false","th_eea-topics":[{"langeng":"Air pollution","default":"Air pollution","link":"https://www.eea.europa.eu/themes#term2"}],"th_httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScopeNumber":"1","specificationConformance":[{"link":"","explanation":"See the referenced specification","title":"Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services","date":"2010-12-08","pass":""}],"mdStatus":"1","th_httpinspireeceuropaeumetadatacodelistPriorityDataset-PriorityDatasetNumber":"3","logo":"/images/logos/d1bd08f0-16ac-47c3-b581-2e8db715530b.png","th_httpinspireeceuropaeumetadatacodelistPriorityDataset-PriorityDataset_tree":{"default":["Directive 2008/50/EC","Directive 2008/50/EC^Measurement and modelling data (Air Quality Directive)","Directive 2008/50/EC^Monitoring stations (Air Quality Directive)"],"key":["http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50","http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50^http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/MeasurementAndModellingData-dir-2008-50","http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50^http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/MonitoringStations-dir-2008-50"]},"keywordType-temporal":[{"langeng":"Annually","default":"Annually","link":"http://sdi.eea.europa.eu/thesaurus/temporal-resolution#annually"}],"creationYearForResource":"2023","MD_LegalConstraintsOtherConstraintsObject":[{"langeng":"no limitations to public access","default":"no limitations to public access","link":"http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations"},{"default":"License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 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PM10, PM2.5, Ozone, NO2 and NOx Spatial estimates and their uncertainties\" (ETC/ATNI Report 1/2021) available at https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-1-2021-european-air-quality-maps-for-2019-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties.","langeng":"The data set and corresponding maps are derived primarily from the e-reporting Air Quality database, consisting of monitoring stations data reported to EEA, and some additional EMEP (European Monitoring and Evaluation Programme) station monitoring data, supplemented with, among others, altitude, meteorological ECMWF data, EMEP concentration modelling data and satellite data. These data sets and the corresponding maps are assessment tools for use at the European scale. 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PM10, PM2.5, O3, NO2, NOx and BaP spatial estimates and their uncertainties\" https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-products/etc-he-reports/etc-he-report-2023-3-air-quality-maps-of-eea-member-and-cooperating-countries-for-2021-pm10-pm2-5-o3-no2-nox-and-bap-spatial-estimates-and-their-uncertainties (the corresponding 2024 report with the 2022 maps will be published at the end of 2024).","langeng":"The data set provides values for the human health related indicator of NO2 (annual average concentration) at 1 km2 grid combining monitoring air quality data in a ‘regression-interpolation-merging mapping’ methodology and the observational values of the air quality monitoring stations used in the interpolation. 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PM10, PM2.5, O3, NO2, NOx and BaP spatial estimates and their uncertainties\" https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-products/etc-he-reports/etc-he-report-2023-3-air-quality-maps-of-eea-member-and-cooperating-countries-for-2021-pm10-pm2-5-o3-no2-nox-and-bap-spatial-estimates-and-their-uncertainties (the corresponding 2024 report with the 2022 maps will be published at the end of 2024)."},"isHarvested":"false","th_eea-topics":[{"langeng":"Air pollution","default":"Air pollution","link":"https://www.eea.europa.eu/themes#term2"}],"th_httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScopeNumber":"1","specificationConformance":[{"explanation":"See the referenced specification","title":"Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services","date":"2010-12-08","pass":"true"}],"th_httpinspireeceuropaeumetadatacodelistPriorityDataset-PriorityDatasetNumber":"3","logo":"/images/logos/d1bd08f0-16ac-47c3-b581-2e8db715530b.png","th_httpinspireeceuropaeumetadatacodelistPriorityDataset-PriorityDataset_tree":{"default":["Directive 2008/50/EC","Directive 2008/50/EC^Measurement and modelling data (Air Quality Directive)","Directive 2008/50/EC^Monitoring stations (Air Quality Directive)"],"key":["http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50","http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50^http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/MeasurementAndModellingData-dir-2008-50","http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/dir-2008-50^http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset/MonitoringStations-dir-2008-50"]},"keywordType-temporal":[{"langeng":"Annually","default":"Annually","link":"http://sdi.eea.europa.eu/thesaurus/temporal-resolution#annually"}],"creationYearForResource":"2024","MD_LegalConstraintsOtherConstraintsObject":[{"langeng":"no limitations to public access","default":"no limitations to public access","link":"http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations"},{"default":"License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 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permutation importance: 0.9595\nbio_15_etrs2_ras permutation importance: 0.9637\nbio_18_etrs2_ras permutation importance: 16.9937\nbio_4_etrs2_ras permutation importance: 59.872\nbio_8_etrs2_ras permutation importance: 0.8316\ndist2water1km permutation importance: 0.0386\npet_he_yr permutation importance: 16.1328\nsoil_ph permutation importance: 0.6691\nsolar_1km permutation importance: 3.539\nEntropy: 8.4372\nPrevalence (average of logistic output over background sites): 0.1835\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0631\nFixed cumulative value 1 area: 0.4362\nFixed cumulative value 1 training omission: 0.0042\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2271\nFixed cumulative value 5 area: 0.35\nFixed cumulative value 5 training omission: 0.0236\nFixed cumulative value 5 test omission: 0.0114\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3212\nFixed cumulative value 10 area: 0.3014\nFixed cumulative value 10 training omission: 0.0714\nFixed cumulative value 10 test omission: 0.0646\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0968\nMinimum training presence logistic threshold: 0.0029\nMinimum training presence area: 0.6497\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.34E-33\n10 percentile training presence cumulative threshold: 12.5828\n10 percentile training presence logistic threshold: 0.3507\n10 percentile training presence area: 0.2823\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.0989\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 24.4193\nEqual training sensitivity and specificity logistic threshold: 0.4588\nEqual training sensitivity and specificity area: 0.2185\nEqual training sensitivity and specificity training omission: 0.2183\nEqual training sensitivity and specificity test omission: 0.2395\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.0176\nMaximum training sensitivity plus specificity logistic threshold: 0.2921\nMaximum training sensitivity plus specificity area: 0.3181\nMaximum training sensitivity plus specificity training omission: 0.0494\nMaximum training sensitivity plus specificity test omission: 0.0342\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 23.1332\nEqual test sensitivity and specificity logistic threshold: 0.4513\nEqual test sensitivity and specificity area: 0.2243\nEqual test sensitivity and specificity training omission: 0.2073\nEqual test sensitivity and specificity test omission: 0.2243\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 7.9676\nMaximum test sensitivity plus specificity logistic threshold: 0.2914\nMaximum test sensitivity plus specificity area: 0.3186\nMaximum test sensitivity plus specificity training omission: 0.0494\nMaximum test sensitivity plus specificity test omission: 0.0304\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.2849\nBalance training omission, predicted area and threshold value logistic threshold: 0.0851\nBalance training omission, predicted area and threshold value area: 0.423\nBalance training omission, predicted area and threshold value training omission: 0.0051\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 3.3697\nEquate entropy of thresholded and original distributions logistic threshold: 0.1877\nEquate entropy of thresholded and original distributions area: 0.3733\nEquate entropy of thresholded and original distributions training omission: 0.0139\nEquate entropy of thresholded and original distributions test omission: 0.0038\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00","langeng":"The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (https://biodiversityinformatics.amnh.org/open_source/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat.\nThe grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. \n The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2368\nRegularized training gain: 0.9878\nUnregularized training gain: 1.0481\nIterations: 500\nTraining AUC: 0.8628\n#Test samples: 263\nTest gain: 1.0651\nTest AUC: 0.863\nAUC Standard Deviation: 0.0064\n#Background points: 12363\nbio_12_etrs2_ras contribution: 0.1128\nbio_15_etrs2_ras contribution: 1.4857\nbio_18_etrs2_ras contribution: 21.5749\nbio_4_etrs2_ras contribution: 58.255\nbio_8_etrs2_ras contribution: 0.2729\ndist2water1km contribution: 0.0045\npet_he_yr contribution: 14.6326\nsoil_ph contribution: 0.7197\nsolar_1km contribution: 2.9419\nbio_12_etrs2_ras permutation importance: 0.9595\nbio_15_etrs2_ras permutation importance: 0.9637\nbio_18_etrs2_ras permutation importance: 16.9937\nbio_4_etrs2_ras permutation importance: 59.872\nbio_8_etrs2_ras permutation importance: 0.8316\ndist2water1km permutation importance: 0.0386\npet_he_yr permutation importance: 16.1328\nsoil_ph permutation importance: 0.6691\nsolar_1km permutation importance: 3.539\nEntropy: 8.4372\nPrevalence (average of logistic output over background sites): 0.1835\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0631\nFixed cumulative value 1 area: 0.4362\nFixed cumulative value 1 training omission: 0.0042\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 0.00E+00\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2271\nFixed cumulative value 5 area: 0.35\nFixed cumulative value 5 training omission: 0.0236\nFixed cumulative value 5 test omission: 0.0114\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3212\nFixed cumulative value 10 area: 0.3014\nFixed cumulative value 10 training omission: 0.0714\nFixed cumulative value 10 test omission: 0.0646\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0968\nMinimum training presence logistic threshold: 0.0029\nMinimum training presence area: 0.6497\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 5.34E-33\n10 percentile training presence cumulative threshold: 12.5828\n10 percentile training presence logistic threshold: 0.3507\n10 percentile training presence area: 0.2823\n10 percentile training presence training omission: 0.0997\n10 percentile training presence test omission: 0.0989\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 24.4193\nEqual training sensitivity and specificity logistic threshold: 0.4588\nEqual training sensitivity and specificity area: 0.2185\nEqual training sensitivity and specificity training omission: 0.2183\nEqual training sensitivity and specificity test omission: 0.2395\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.0176\nMaximum training sensitivity plus specificity logistic threshold: 0.2921\nMaximum training sensitivity plus specificity area: 0.3181\nMaximum training sensitivity plus specificity training omission: 0.0494\nMaximum training sensitivity plus specificity test omission: 0.0342\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 23.1332\nEqual test sensitivity and specificity logistic threshold: 0.4513\nEqual test sensitivity and specificity area: 0.2243\nEqual test sensitivity and specificity training omission: 0.2073\nEqual test sensitivity and specificity test omission: 0.2243\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 7.9676\nMaximum test sensitivity plus specificity logistic threshold: 0.2914\nMaximum test sensitivity plus specificity area: 0.3186\nMaximum test sensitivity plus specificity training omission: 0.0494\nMaximum test sensitivity plus specificity test omission: 0.0304\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 1.2849\nBalance training omission, predicted area and threshold value logistic threshold: 0.0851\nBalance training omission, predicted area and threshold value area: 0.423\nBalance training omission, predicted area and threshold value training omission: 0.0051\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 3.3697\nEquate entropy of thresholded and original distributions logistic threshold: 0.1877\nEquate entropy of thresholded and original distributions area: 0.3733\nEquate entropy of thresholded and original distributions training omission: 0.0139\nEquate entropy of thresholded and original distributions test omission: 0.0038\nEquate entropy of thresholded and original distributions binomial probability: 0.00E+00"},"op0":["1","0","2"],"mainLanguage":"eng","isOpenData":"false","docType":"metadata","documentStandard":"iso19115-3.2018","th_httpinspireeceuropaeutheme-theme_tree":{"default":["Habitats and 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percentile training presence logistic threshold: 0.2476\n10 percentile training presence area: 0.4037\n10 percentile training presence training omission: 0.0998\n10 percentile training presence test omission: 0.1287\n10 percentile training presence binomial probability: 4.94E-22\nEqual training sensitivity and specificity cumulative threshold: 28.792\nEqual training sensitivity and specificity logistic threshold: 0.3916\nEqual training sensitivity and specificity area: 0.2379\nEqual training sensitivity and specificity training omission: 0.2379\nEqual training sensitivity and specificity test omission: 0.3069\nEqual training sensitivity and specificity binomial probability: 3.20E-27\nMaximum training sensitivity plus specificity cumulative threshold: 21.6377\nMaximum training sensitivity plus specificity logistic threshold: 0.3364\nMaximum training sensitivity plus specificity area: 0.2975\nMaximum training sensitivity plus specificity training omission: 0.1678\nMaximum training sensitivity plus specificity test omission: 0.2376\nMaximum training sensitivity plus specificity binomial probability: 8.22E-25\nEqual test sensitivity and specificity cumulative threshold: 26.2295\nEqual test sensitivity and specificity logistic threshold: 0.374\nEqual test sensitivity and specificity area: 0.2576\nEqual test sensitivity and specificity training omission: 0.2215\nEqual test sensitivity and specificity test omission: 0.2574\nEqual test sensitivity and specificity binomial probability: 3.72E-29\nMaximum test sensitivity plus specificity cumulative threshold: 16.7376\nMaximum test sensitivity plus specificity logistic threshold: 0.2904\nMaximum test sensitivity plus specificity area: 0.3488\nMaximum test sensitivity plus specificity training omission: 0.1272\nMaximum test sensitivity plus specificity test omission: 0.1584\nMaximum test sensitivity plus specificity binomial probability: 1.35E-25\nBalance training omission, predicted area and threshold value cumulative 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 912\nRegularized training gain: 0.7392\nUnregularized training gain: 0.8525\nIterations: 500\nTraining AUC: 0.8424\n#Test samples: 101\nTest gain: 0.7284\nTest AUC: 0.8173\nAUC Standard Deviation: 0.0174\n#Background points: 10580\nbio_12_etrs2_ras contribution: 12.3519\nbio_15_etrs2_ras contribution: 0.8557\nbio_18_etrs2_ras contribution: 18.6273\nbio_4_etrs2_ras contribution: 2.535\nbio_8_etrs2_ras contribution: 16.2205\ndist2water1km contribution: 0.0447\npet_he_yr contribution: 9.4265\nsoil_ph contribution: 4.6459\nsolar_1km contribution: 35.2926\nbio_12_etrs2_ras permutation importance: 13.6586\nbio_15_etrs2_ras permutation importance: 4.0317\nbio_18_etrs2_ras permutation importance: 18.4178\nbio_4_etrs2_ras permutation importance: 2.9111\nbio_8_etrs2_ras permutation importance: 4.1676\ndist2water1km permutation importance: 0.0715\npet_he_yr permutation importance: 11.5987\nsoil_ph permutation importance: 5.3003\nsolar_1km permutation importance: 39.8427\nTraining gain without bio_12_etrs2_ras: 0.7256\nTraining gain without bio_15_etrs2_ras: 0.7317\nTraining gain without bio_18_etrs2_ras: 0.7149\nTraining gain without bio_4_etrs2_ras: 0.7293\nTraining gain without bio_8_etrs2_ras: 0.728\nTraining gain without dist2water1km: 0.7392\nTraining gain without pet_he_yr: 0.7197\nTraining gain without soil_ph: 0.7154\nTraining gain without solar_1km: 0.6433\nTraining gain with only bio_12_etrs2_ras: 0.2558\nTraining gain with only bio_15_etrs2_ras: 0.0594\nTraining gain with only bio_18_etrs2_ras: 0.3061\nTraining gain with only bio_4_etrs2_ras: 0.04\nTraining gain with only bio_8_etrs2_ras: 0.2483\nTraining gain with only dist2water1km: 0.0044\nTraining gain with only pet_he_yr: 0.1689\nTraining gain with only soil_ph: 0.1074\nTraining gain with only solar_1km: 0.4059\nTest gain without bio_12_etrs2_ras: 0.7319\nTest gain without bio_15_etrs2_ras: 0.7082\nTest gain without bio_18_etrs2_ras: 0.709\nTest gain without bio_4_etrs2_ras: 0.7379\nTest gain without bio_8_etrs2_ras: 0.6971\nTest gain without dist2water1km: 0.7273\nTest gain without pet_he_yr: 0.6924\nTest gain without soil_ph: 0.6988\nTest gain without solar_1km: 0.6756\nTest gain with only bio_12_etrs2_ras: 0.2155\nTest gain with only bio_15_etrs2_ras: 0.0712\nTest gain with only bio_18_etrs2_ras: 0.2763\nTest gain with only bio_4_etrs2_ras: 0.076\nTest gain with only bio_8_etrs2_ras: 0.2765\nTest gain with only dist2water1km: -0.0077\nTest gain with only pet_he_yr: 0.1493\nTest gain with only soil_ph: 0.1396\nTest gain with only solar_1km: 0.3617\nAUC without bio_12_etrs2_ras: 0.8197\nAUC without bio_15_etrs2_ras: 0.8131\nAUC without bio_18_etrs2_ras: 0.8133\nAUC without bio_4_etrs2_ras: 0.8192\nAUC without bio_8_etrs2_ras: 0.8107\nAUC without dist2water1km: 0.8165\nAUC without pet_he_yr: 0.811\nAUC without soil_ph: 0.8147\nAUC without solar_1km: 0.8035\nAUC with only bio_12_etrs2_ras: 0.6866\nAUC with only bio_15_etrs2_ras: 0.5819\nAUC with only bio_18_etrs2_ras: 0.6863\nAUC with only bio_4_etrs2_ras: 0.6182\nAUC with only bio_8_etrs2_ras: 0.716\nAUC with only dist2water1km: 0.5139\nAUC with only pet_he_yr: 0.6349\nAUC with only soil_ph: 0.6468\nAUC with only solar_1km: 0.7345\nEntropy: 8.5288\nPrevalence (average of logistic output over background sites): 0.235\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.052\nFixed cumulative value 1 area: 0.7133\nFixed cumulative value 1 training omission: 0.0066\nFixed cumulative value 1 test omission: 0.0099\nFixed cumulative value 1 binomial probability: 3.85E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1535\nFixed cumulative value 5 area: 0.5454\nFixed cumulative value 5 training omission: 0.0351\nFixed cumulative value 5 test omission: 0.0396\nFixed cumulative value 5 binomial probability: 2.73E-17\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2226\nFixed cumulative value 10 area: 0.4431\nFixed cumulative value 10 training omission: 0.0757\nFixed cumulative value 10 test omission: 0.099\nFixed cumulative value 10 binomial probability: 9.88E-21\nMinimum training presence cumulative threshold: 0.0248\nMinimum training presence logistic threshold: 0.0038\nMinimum training presence area: 0.9313\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.17E-03\n10 percentile training presence cumulative threshold: 12.5397\n10 percentile training presence logistic threshold: 0.2476\n10 percentile training presence area: 0.4037\n10 percentile training presence training omission: 0.0998\n10 percentile training presence test omission: 0.1287\n10 percentile training presence binomial probability: 4.94E-22\nEqual training sensitivity and specificity cumulative threshold: 28.792\nEqual training sensitivity and specificity logistic threshold: 0.3916\nEqual training sensitivity and specificity area: 0.2379\nEqual training sensitivity and specificity training omission: 0.2379\nEqual training sensitivity and specificity test omission: 0.3069\nEqual training sensitivity and specificity binomial probability: 3.20E-27\nMaximum training sensitivity plus specificity cumulative threshold: 21.6377\nMaximum training sensitivity plus specificity logistic threshold: 0.3364\nMaximum training sensitivity plus specificity area: 0.2975\nMaximum training sensitivity plus specificity training omission: 0.1678\nMaximum training sensitivity plus specificity test omission: 0.2376\nMaximum training sensitivity plus specificity binomial probability: 8.22E-25\nEqual test sensitivity and specificity cumulative threshold: 26.2295\nEqual test sensitivity and specificity logistic threshold: 0.374\nEqual test sensitivity and specificity area: 0.2576\nEqual test sensitivity and specificity training omission: 0.2215\nEqual test sensitivity and specificity test omission: 0.2574\nEqual test sensitivity and specificity binomial probability: 3.72E-29\nMaximum test sensitivity plus specificity cumulative threshold: 16.7376\nMaximum test sensitivity plus specificity logistic threshold: 0.2904\nMaximum test sensitivity plus specificity area: 0.3488\nMaximum test sensitivity plus specificity training omission: 0.1272\nMaximum test sensitivity plus specificity test omission: 0.1584\nMaximum test sensitivity plus specificity binomial probability: 1.35E-25\nBalance training omission, predicted area and threshold value cumulative threshold: 3.0682\nBalance training omission, predicted area and threshold value logistic threshold: 0.1161\nBalance training omission, predicted area and threshold value area: 0.6045\nBalance training omission, predicted area and threshold value training omission: 0.0132\nBalance training omission, predicted area and threshold value test omission: 0.0297\nBalance training omission, predicted area and threshold value binomial probability: 2.78E-14\nEquate entropy of thresholded and original distributions cumulative threshold: 8.0374\nEquate entropy of thresholded and original distributions logistic threshold: 0.2003\nEquate entropy of thresholded and original distributions area: 0.4781\nEquate entropy of thresholded and original distributions training omission: 0.0581\nEquate entropy of thresholded and original distributions test omission: 0.0891\nEquate entropy of thresholded and original distributions binomial probability: 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cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1087\nFixed cumulative value 5 area: 0.2298\nFixed cumulative value 5 training omission: 0.0247\nFixed cumulative value 5 test omission: 0.0532\nFixed cumulative value 5 binomial probability: 1.28E-61\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2088\nFixed cumulative value 10 area: 0.1745\nFixed cumulative value 10 training omission: 0.0647\nFixed cumulative value 10 test omission: 0.0957\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0896\nMinimum training presence logistic threshold: 0.0021\nMinimum training presence area: 0.7104\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.00E-10\n10 percentile training presence cumulative threshold: 14.1528\n10 percentile training presence logistic threshold: 0.2821\n10 percentile training presence area: 0.148\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1702\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 17.606\nEqual training sensitivity and specificity logistic threshold: 0.3326\nEqual training sensitivity and specificity area: 0.1319\nEqual training sensitivity and specificity training omission: 0.1318\nEqual training sensitivity and specificity test omission: 0.2021\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9669\nMaximum training sensitivity plus specificity logistic threshold: 0.1891\nMaximum training sensitivity plus specificity area: 0.1832\nMaximum training sensitivity plus specificity training omission: 0.0482\nMaximum training sensitivity plus specificity test 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 850\nRegularized training gain: 1.579\nUnregularized training gain: 1.6753\nIterations: 500\nTraining AUC: 0.9318\n#Test samples: 94\nTest gain: 1.4433\nTest AUC: 0.9149\nAUC Standard Deviation: 0.0084\n#Background points: 10542\nbio_12_etrs2_ras contribution: 0.3599\nbio_15_etrs2_ras contribution: 2.2413\nbio_18_etrs2_ras contribution: 28.0611\nbio_4_etrs2_ras contribution: 9.4465\nbio_8_etrs2_ras contribution: 3.8968\ndist2water1km contribution: 0.4626\npet_he_yr contribution: 53.4946\nsoil_ph contribution: 0.4755\nsolar_1km contribution: 1.5617\nbio_12_etrs2_ras permutation importance: 0.1612\nbio_15_etrs2_ras permutation importance: 2.9464\nbio_18_etrs2_ras permutation importance: 24.0044\nbio_4_etrs2_ras permutation importance: 8.3821\nbio_8_etrs2_ras permutation importance: 6.1187\ndist2water1km permutation importance: 0.448\npet_he_yr permutation importance: 56.7382\nsoil_ph permutation importance: 0.5336\nsolar_1km permutation importance: 0.6673\nTraining gain without bio_12_etrs2_ras: 1.58\nTraining gain without bio_15_etrs2_ras: 1.5636\nTraining gain without bio_18_etrs2_ras: 1.5626\nTraining gain without bio_4_etrs2_ras: 1.4877\nTraining gain without bio_8_etrs2_ras: 1.5611\nTraining gain without dist2water1km: 1.5766\nTraining gain without pet_he_yr: 1.4338\nTraining gain without soil_ph: 1.5758\nTraining gain without solar_1km: 1.5753\nTraining gain with only bio_12_etrs2_ras: 0.2344\nTraining gain with only bio_15_etrs2_ras: 0.4425\nTraining gain with only bio_18_etrs2_ras: 1.051\nTraining gain with only bio_4_etrs2_ras: 0.1817\nTraining gain with only bio_8_etrs2_ras: 0.4426\nTraining gain with only dist2water1km: 0.1343\nTraining gain with only pet_he_yr: 1.1858\nTraining gain with only soil_ph: 0.2315\nTraining gain with only solar_1km: 0.322\nTest gain without bio_12_etrs2_ras: 1.4474\nTest gain without bio_15_etrs2_ras: 1.4183\nTest gain without bio_18_etrs2_ras: 1.4275\nTest gain without bio_4_etrs2_ras: 1.3652\nTest gain without bio_8_etrs2_ras: 1.427\nTest gain without dist2water1km: 1.424\nTest gain without pet_he_yr: 1.3804\nTest gain without soil_ph: 1.4429\nTest gain without solar_1km: 1.4579\nTest gain with only bio_12_etrs2_ras: 0.2554\nTest gain with only bio_15_etrs2_ras: 0.621\nTest gain with only bio_18_etrs2_ras: 1.0381\nTest gain with only bio_4_etrs2_ras: 0.1858\nTest gain with only bio_8_etrs2_ras: 0.3027\nTest gain with only dist2water1km: 0.3277\nTest gain with only pet_he_yr: 1.017\nTest gain with only soil_ph: 0.2343\nTest gain with only solar_1km: 0.2003\nAUC without bio_12_etrs2_ras: 0.9153\nAUC without bio_15_etrs2_ras: 0.9124\nAUC without bio_18_etrs2_ras: 0.9141\nAUC without bio_4_etrs2_ras: 0.9074\nAUC without bio_8_etrs2_ras: 0.9127\nAUC without dist2water1km: 0.9133\nAUC without pet_he_yr: 0.9073\nAUC without soil_ph: 0.9149\nAUC without solar_1km: 0.9161\nAUC with only bio_12_etrs2_ras: 0.6422\nAUC with only bio_15_etrs2_ras: 0.7525\nAUC with only bio_18_etrs2_ras: 0.8578\nAUC with only bio_4_etrs2_ras: 0.6673\nAUC with only bio_8_etrs2_ras: 0.7115\nAUC with only dist2water1km: 0.7243\nAUC with only pet_he_yr: 0.8699\nAUC with only soil_ph: 0.6524\nAUC with only solar_1km: 0.6632\nEntropy: 7.6952\nPrevalence (average of logistic output over background sites): 0.1001\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0136\nFixed cumulative value 1 area: 0.435\nFixed cumulative value 1 training omission: 0.0024\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.11E-28\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1087\nFixed cumulative value 5 area: 0.2298\nFixed cumulative value 5 training omission: 0.0247\nFixed cumulative value 5 test omission: 0.0532\nFixed cumulative value 5 binomial probability: 1.28E-61\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2088\nFixed cumulative value 10 area: 0.1745\nFixed cumulative value 10 training omission: 0.0647\nFixed cumulative value 10 test omission: 0.0957\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0896\nMinimum training presence logistic threshold: 0.0021\nMinimum training presence area: 0.7104\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 3.00E-10\n10 percentile training presence cumulative threshold: 14.1528\n10 percentile training presence logistic threshold: 0.2821\n10 percentile training presence area: 0.148\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1702\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 17.606\nEqual training sensitivity and specificity logistic threshold: 0.3326\nEqual training sensitivity and specificity area: 0.1319\nEqual training sensitivity and specificity training omission: 0.1318\nEqual training sensitivity and specificity test omission: 0.2021\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 8.9669\nMaximum training sensitivity plus specificity logistic threshold: 0.1891\nMaximum training sensitivity plus specificity area: 0.1832\nMaximum training sensitivity plus specificity training omission: 0.0482\nMaximum training sensitivity plus specificity test omission: 0.0851\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 13.5167\nEqual test sensitivity and specificity logistic threshold: 0.2725\nEqual test sensitivity and specificity area: 0.1514\nEqual test sensitivity and specificity training omission: 0.0953\nEqual test sensitivity and specificity test omission: 0.1489\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 11.4636\nMaximum test sensitivity plus specificity logistic threshold: 0.2374\nMaximum test sensitivity plus specificity area: 0.1638\nMaximum test sensitivity plus specificity training omission: 0.0706\nMaximum test sensitivity plus specificity test omission: 0.0957\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.5256\nBalance training omission, predicted area and threshold value logistic threshold: 0.0424\nBalance training omission, predicted area and threshold value area: 0.299\nBalance training omission, predicted area and threshold value training omission: 0.0094\nBalance training omission, predicted area and threshold value test omission: 0.0426\nBalance training omission, predicted area and threshold value binomial probability: 1.70E-44\nEquate entropy of thresholded and original distributions cumulative threshold: 6.5111\nEquate entropy of thresholded and original distributions logistic threshold: 0.1464\nEquate entropy of thresholded and original distributions area: 0.2084\nEquate entropy of thresholded and original distributions training omission: 0.0365\nEquate entropy of thresholded and original distributions test omission: 0.0745\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 20.3085\nbio_15_etrs2_ras permutation importance: 6.2033\nbio_18_etrs2_ras permutation importance: 17.9911\nbio_4_etrs2_ras permutation importance: 12.4366\nbio_8_etrs2_ras permutation importance: 4.3078\ndist2water1km permutation importance: 0.2731\npet_he_yr permutation importance: 28.2613\nsoil_ph permutation importance: 8.931\nsolar_1km permutation importance: 1.2874\nTraining gain without bio_12_etrs2_ras: 0.5443\nTraining gain without bio_15_etrs2_ras: 0.5465\nTraining gain without bio_18_etrs2_ras: 0.5433\nTraining gain without bio_4_etrs2_ras: 0.5302\nTraining gain without bio_8_etrs2_ras: 0.55\nTraining gain without dist2water1km: 0.5575\nTraining gain without pet_he_yr: 0.5181\nTraining gain without soil_ph: 0.5167\nTraining gain without solar_1km: 0.5532\nTraining gain with only bio_12_etrs2_ras: 0.1791\nTraining gain with only bio_15_etrs2_ras: 0.0633\nTraining gain with only bio_18_etrs2_ras: 0.2369\nTraining gain with only bio_4_etrs2_ras: 0.107\nTraining gain with only bio_8_etrs2_ras: 0.2118\nTraining gain with only dist2water1km: 0.0115\nTraining gain with only pet_he_yr: 0.2405\nTraining gain with only soil_ph: 0.1483\nTraining gain with only solar_1km: 0.1471\nTest gain without bio_12_etrs2_ras: 0.5748\nTest gain without bio_15_etrs2_ras: 0.5583\nTest gain without bio_18_etrs2_ras: 0.5767\nTest gain without bio_4_etrs2_ras: 0.5436\nTest gain without bio_8_etrs2_ras: 0.5845\nTest gain without dist2water1km: 0.5938\nTest gain without pet_he_yr: 0.5629\nTest gain without soil_ph: 0.5232\nTest gain without solar_1km: 0.5956\nTest gain with only bio_12_etrs2_ras: 0.1562\nTest gain with only bio_15_etrs2_ras: 0.0871\nTest gain with only bio_18_etrs2_ras: 0.2374\nTest gain with only bio_4_etrs2_ras: 0.1354\nTest gain with only bio_8_etrs2_ras: 0.2268\nTest gain with only dist2water1km: 0.0099\nTest gain with only pet_he_yr: 0.2288\nTest gain with only soil_ph: 0.1865\nTest gain with only solar_1km: 0.1262\nAUC without bio_12_etrs2_ras: 0.7903\nAUC without bio_15_etrs2_ras: 0.7863\nAUC without bio_18_etrs2_ras: 0.7911\nAUC without bio_4_etrs2_ras: 0.7808\nAUC without bio_8_etrs2_ras: 0.7909\nAUC without dist2water1km: 0.7939\nAUC without pet_he_yr: 0.7863\nAUC without soil_ph: 0.7782\nAUC without solar_1km: 0.7946\nAUC with only bio_12_etrs2_ras: 0.6633\nAUC with only bio_15_etrs2_ras: 0.6139\nAUC with only bio_18_etrs2_ras: 0.6804\nAUC with only bio_4_etrs2_ras: 0.6436\nAUC with only bio_8_etrs2_ras: 0.6854\nAUC with only dist2water1km: 0.5118\nAUC with only pet_he_yr: 0.6833\nAUC with only soil_ph: 0.6667\nAUC with only solar_1km: 0.6621\nEntropy: 8.781\nPrevalence (average of logistic output over background sites): 0.2823\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0696\nFixed cumulative value 1 area: 0.8088\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0.0159\nFixed cumulative value 1 binomial probability: 4.44E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1631\nFixed cumulative value 5 area: 0.6304\nFixed cumulative value 5 training omission: 0.038\nFixed cumulative value 5 test omission: 0.0582\nFixed cumulative value 5 binomial probability: 3.73E-19\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2415\nFixed cumulative value 10 area: 0.5171\nFixed cumulative value 10 training omission: 0.0772\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 7.44E-25\nMinimum training presence cumulative threshold: 0.0194\nMinimum training presence logistic threshold: 0.0061\nMinimum training presence area: 0.9569\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.75E-03\n10 percentile training presence cumulative threshold: 13.3642\n10 percentile training presence logistic threshold: 0.2785\n10 percentile training presence area: 0.4624\n10 percentile training presence training omission: 0.0995\n10 percentile training presence test omission: 0.1323\n10 percentile training presence binomial probability: 2.63E-29\nEqual training sensitivity and specificity cumulative threshold: 31.7862\nEqual training sensitivity and specificity logistic threshold: 0.4178\nEqual training sensitivity and specificity area: 0.2668\nEqual training sensitivity and specificity training omission: 0.2668\nEqual training sensitivity and specificity test omission: 0.2698\nEqual training sensitivity and specificity binomial probability: 2.48E-47\nMaximum training sensitivity plus specificity cumulative threshold: 23.3077\nMaximum training sensitivity plus specificity logistic threshold: 0.364\nMaximum training sensitivity plus specificity area: 0.3425\nMaximum training sensitivity plus specificity training omission: 0.1802\nMaximum training sensitivity plus specificity test omission: 0.2063\nMaximum training sensitivity plus specificity binomial probability: 2.47E-39\nEqual test sensitivity and specificity cumulative threshold: 31.4235\nEqual test sensitivity and specificity logistic threshold: 0.4163\nEqual test sensitivity and specificity area: 0.2697\nEqual test sensitivity and specificity training omission: 0.2633\nEqual test sensitivity and specificity test omission: 0.2698\nEqual test sensitivity and specificity binomial probability: 1.84E-46\nMaximum test sensitivity plus specificity cumulative threshold: 29.0965\nMaximum test sensitivity plus specificity logistic threshold: 0.4022\nMaximum test sensitivity plus specificity area: 0.2889\nMaximum test sensitivity plus specificity training omission: 0.2405\nMaximum test sensitivity plus specificity test omission: 0.2381\nMaximum test sensitivity plus specificity binomial probability: 5.56E-47\nBalance training omission, predicted area and threshold value cumulative 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1709\nRegularized training gain: 0.5583\nUnregularized training gain: 0.6435\nIterations: 500\nTraining AUC: 0.8068\n#Test samples: 189\nTest gain: 0.5895\nTest AUC: 0.7929\nAUC Standard Deviation: 0.0152\n#Background points: 11357\nbio_12_etrs2_ras contribution: 21.6615\nbio_15_etrs2_ras contribution: 1.8676\nbio_18_etrs2_ras contribution: 13.583\nbio_4_etrs2_ras contribution: 4.9024\nbio_8_etrs2_ras contribution: 15.5528\ndist2water1km contribution: 0.11\npet_he_yr contribution: 23.9712\nsoil_ph contribution: 16.9529\nsolar_1km contribution: 1.3987\nbio_12_etrs2_ras permutation importance: 20.3085\nbio_15_etrs2_ras permutation importance: 6.2033\nbio_18_etrs2_ras permutation importance: 17.9911\nbio_4_etrs2_ras permutation importance: 12.4366\nbio_8_etrs2_ras permutation importance: 4.3078\ndist2water1km permutation importance: 0.2731\npet_he_yr permutation importance: 28.2613\nsoil_ph permutation importance: 8.931\nsolar_1km permutation importance: 1.2874\nTraining gain without bio_12_etrs2_ras: 0.5443\nTraining gain without bio_15_etrs2_ras: 0.5465\nTraining gain without bio_18_etrs2_ras: 0.5433\nTraining gain without bio_4_etrs2_ras: 0.5302\nTraining gain without bio_8_etrs2_ras: 0.55\nTraining gain without dist2water1km: 0.5575\nTraining gain without pet_he_yr: 0.5181\nTraining gain without soil_ph: 0.5167\nTraining gain without solar_1km: 0.5532\nTraining gain with only bio_12_etrs2_ras: 0.1791\nTraining gain with only bio_15_etrs2_ras: 0.0633\nTraining gain with only bio_18_etrs2_ras: 0.2369\nTraining gain with only bio_4_etrs2_ras: 0.107\nTraining gain with only bio_8_etrs2_ras: 0.2118\nTraining gain with only dist2water1km: 0.0115\nTraining gain with only pet_he_yr: 0.2405\nTraining gain with only soil_ph: 0.1483\nTraining gain with only solar_1km: 0.1471\nTest gain without bio_12_etrs2_ras: 0.5748\nTest gain without bio_15_etrs2_ras: 0.5583\nTest gain without bio_18_etrs2_ras: 0.5767\nTest gain without bio_4_etrs2_ras: 0.5436\nTest gain without bio_8_etrs2_ras: 0.5845\nTest gain without dist2water1km: 0.5938\nTest gain without pet_he_yr: 0.5629\nTest gain without soil_ph: 0.5232\nTest gain without solar_1km: 0.5956\nTest gain with only bio_12_etrs2_ras: 0.1562\nTest gain with only bio_15_etrs2_ras: 0.0871\nTest gain with only bio_18_etrs2_ras: 0.2374\nTest gain with only bio_4_etrs2_ras: 0.1354\nTest gain with only bio_8_etrs2_ras: 0.2268\nTest gain with only dist2water1km: 0.0099\nTest gain with only pet_he_yr: 0.2288\nTest gain with only soil_ph: 0.1865\nTest gain with only solar_1km: 0.1262\nAUC without bio_12_etrs2_ras: 0.7903\nAUC without bio_15_etrs2_ras: 0.7863\nAUC without bio_18_etrs2_ras: 0.7911\nAUC without bio_4_etrs2_ras: 0.7808\nAUC without bio_8_etrs2_ras: 0.7909\nAUC without dist2water1km: 0.7939\nAUC without pet_he_yr: 0.7863\nAUC without soil_ph: 0.7782\nAUC without solar_1km: 0.7946\nAUC with only bio_12_etrs2_ras: 0.6633\nAUC with only bio_15_etrs2_ras: 0.6139\nAUC with only bio_18_etrs2_ras: 0.6804\nAUC with only bio_4_etrs2_ras: 0.6436\nAUC with only bio_8_etrs2_ras: 0.6854\nAUC with only dist2water1km: 0.5118\nAUC with only pet_he_yr: 0.6833\nAUC with only soil_ph: 0.6667\nAUC with only solar_1km: 0.6621\nEntropy: 8.781\nPrevalence (average of logistic output over background sites): 0.2823\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0696\nFixed cumulative value 1 area: 0.8088\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0.0159\nFixed cumulative value 1 binomial probability: 4.44E-10\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1631\nFixed cumulative value 5 area: 0.6304\nFixed cumulative value 5 training omission: 0.038\nFixed cumulative value 5 test omission: 0.0582\nFixed cumulative value 5 binomial probability: 3.73E-19\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2415\nFixed cumulative value 10 area: 0.5171\nFixed cumulative value 10 training omission: 0.0772\nFixed cumulative value 10 test omission: 0.1111\nFixed cumulative value 10 binomial probability: 7.44E-25\nMinimum training presence cumulative threshold: 0.0194\nMinimum training presence logistic threshold: 0.0061\nMinimum training presence area: 0.9569\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.75E-03\n10 percentile training presence cumulative threshold: 13.3642\n10 percentile training presence logistic threshold: 0.2785\n10 percentile training presence area: 0.4624\n10 percentile training presence training omission: 0.0995\n10 percentile training presence test omission: 0.1323\n10 percentile training presence binomial probability: 2.63E-29\nEqual training sensitivity and specificity cumulative threshold: 31.7862\nEqual training sensitivity and specificity logistic threshold: 0.4178\nEqual training sensitivity and specificity area: 0.2668\nEqual training sensitivity and specificity training omission: 0.2668\nEqual training sensitivity and specificity test omission: 0.2698\nEqual training sensitivity and specificity binomial probability: 2.48E-47\nMaximum training sensitivity plus specificity cumulative threshold: 23.3077\nMaximum training sensitivity plus specificity logistic threshold: 0.364\nMaximum training sensitivity plus specificity area: 0.3425\nMaximum training sensitivity plus specificity training omission: 0.1802\nMaximum training sensitivity plus specificity test omission: 0.2063\nMaximum training sensitivity plus specificity binomial probability: 2.47E-39\nEqual test sensitivity and specificity cumulative threshold: 31.4235\nEqual test sensitivity and specificity logistic threshold: 0.4163\nEqual test sensitivity and specificity area: 0.2697\nEqual test sensitivity and specificity training omission: 0.2633\nEqual test sensitivity and specificity test omission: 0.2698\nEqual test sensitivity and specificity binomial probability: 1.84E-46\nMaximum test sensitivity plus specificity cumulative threshold: 29.0965\nMaximum test sensitivity plus specificity logistic threshold: 0.4022\nMaximum test sensitivity plus specificity area: 0.2889\nMaximum test sensitivity plus specificity training omission: 0.2405\nMaximum test sensitivity plus specificity test omission: 0.2381\nMaximum test sensitivity plus specificity binomial probability: 5.56E-47\nBalance training omission, predicted area and threshold value cumulative threshold: 1.9181\nBalance training omission, predicted area and threshold value logistic threshold: 0.0968\nBalance training omission, predicted area and threshold value area: 0.751\nBalance training omission, predicted area and threshold value training omission: 0.0158\nBalance training omission, predicted area and threshold value test omission: 0.0317\nBalance training omission, predicted area and threshold value binomial probability: 2.47E-12\nEquate entropy of thresholded and original distributions cumulative threshold: 7.2363\nEquate entropy of thresholded and original distributions logistic threshold: 0.2006\nEquate entropy of thresholded and original distributions area: 0.5731\nEquate entropy of thresholded and original distributions training omission: 0.0632\nEquate entropy of thresholded and original distributions test omission: 0.0899\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 24.9682\nbio_15_etrs2_ras permutation importance: 5.5377\nbio_18_etrs2_ras permutation importance: 42.6219\nbio_4_etrs2_ras permutation importance: 5.0682\nbio_8_etrs2_ras permutation importance: 2.2636\ndist2water1km permutation importance: 0.2125\npet_he_yr permutation importance: 8.127\nsoil_ph permutation importance: 2.3177\nsolar_1km permutation importance: 8.8832\nTraining gain without bio_12_etrs2_ras: 0.2242\nTraining gain without bio_15_etrs2_ras: 0.2314\nTraining gain without bio_18_etrs2_ras: 0.2004\nTraining gain without bio_4_etrs2_ras: 0.2318\nTraining gain without bio_8_etrs2_ras: 0.2367\nTraining gain without dist2water1km: 0.2379\nTraining gain without pet_he_yr: 0.2266\nTraining gain without soil_ph: 0.2336\nTraining gain without solar_1km: 0.2293\nTraining gain with only bio_12_etrs2_ras: 0.0342\nTraining gain with only bio_15_etrs2_ras: 0.033\nTraining gain with only bio_18_etrs2_ras: 0.132\nTraining gain with only bio_4_etrs2_ras: 0.0642\nTraining gain with only bio_8_etrs2_ras: 0.099\nTraining gain with only dist2water1km: 0.006\nTraining gain with only pet_he_yr: 0.0838\nTraining gain with only soil_ph: 0.0189\nTraining gain with only solar_1km: 0.0579\nTest gain without bio_12_etrs2_ras: 0.2428\nTest gain without bio_15_etrs2_ras: 0.247\nTest gain without bio_18_etrs2_ras: 0.2302\nTest gain without bio_4_etrs2_ras: 0.255\nTest gain without bio_8_etrs2_ras: 0.2546\nTest gain without dist2water1km: 0.2591\nTest gain without pet_he_yr: 0.2492\nTest gain without soil_ph: 0.255\nTest gain without solar_1km: 0.2527\nTest gain with only bio_12_etrs2_ras: 0.0349\nTest gain with only bio_15_etrs2_ras: 0.0369\nTest gain with only bio_18_etrs2_ras: 0.1456\nTest gain with only bio_4_etrs2_ras: 0.0768\nTest gain with only bio_8_etrs2_ras: 0.1472\nTest gain with only dist2water1km: 0.007\nTest gain with only pet_he_yr: 0.0862\nTest gain with only soil_ph: 0.0095\nTest gain with only solar_1km: 0.0542\nAUC without bio_12_etrs2_ras: 0.6858\nAUC without bio_15_etrs2_ras: 0.687\nAUC without bio_18_etrs2_ras: 0.6829\nAUC without bio_4_etrs2_ras: 0.6892\nAUC without bio_8_etrs2_ras: 0.6883\nAUC without dist2water1km: 0.6904\nAUC without pet_he_yr: 0.6859\nAUC without soil_ph: 0.6882\nAUC without solar_1km: 0.6897\nAUC with only bio_12_etrs2_ras: 0.5711\nAUC with only bio_15_etrs2_ras: 0.5508\nAUC with only bio_18_etrs2_ras: 0.6282\nAUC with only bio_4_etrs2_ras: 0.6116\nAUC with only bio_8_etrs2_ras: 0.6539\nAUC with only dist2water1km: 0.5509\nAUC with only pet_he_yr: 0.601\nAUC with only soil_ph: 0.5484\nAUC with only solar_1km: 0.5868\nEntropy: 9.3326\nPrevalence (average of logistic output over background sites): 0.3921\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.148\nFixed cumulative value 1 area: 0.8533\nFixed cumulative value 1 training omission: 0.0076\nFixed cumulative value 1 test omission: 0.0114\nFixed cumulative value 1 binomial probability: 8.30E-19\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2831\nFixed cumulative value 5 area: 0.7442\nFixed cumulative value 5 training omission: 0.0307\nFixed cumulative value 5 test omission: 0.0285\nFixed cumulative value 5 binomial probability: 2.85E-33\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3575\nFixed cumulative value 10 area: 0.6617\nFixed cumulative value 10 training omission: 0.0762\nFixed cumulative value 10 test omission: 0.0778\nFixed cumulative value 10 binomial probability: 6.25E-37\nMinimum training presence cumulative threshold: 0.0109\nMinimum training presence logistic threshold: 0.0126\nMinimum training presence area: 0.989\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 7.63E-03\n10 percentile training presence cumulative threshold: 12.2994\n10 percentile training presence logistic threshold: 0.3777\n10 percentile training presence area: 0.6303\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1006\n10 percentile training presence binomial probability: 8.49E-38\nEqual training sensitivity and specificity cumulative threshold: 38.7394\nEqual training sensitivity and specificity logistic threshold: 0.492\nEqual training sensitivity and specificity area: 0.3648\nEqual training sensitivity and specificity training omission: 0.3648\nEqual training sensitivity and specificity test omission: 0.4004\nEqual training sensitivity and specificity binomial probability: 2.12E-29\nMaximum training sensitivity plus specificity cumulative threshold: 23.1555\nMaximum training sensitivity plus specificity logistic threshold: 0.4348\nMaximum training sensitivity plus specificity area: 0.507\nMaximum training sensitivity plus specificity training omission: 0.2019\nMaximum training sensitivity plus specificity test omission: 0.2011\nMaximum training sensitivity plus specificity binomial probability: 2.88E-41\nEqual test sensitivity and specificity cumulative threshold: 37.1415\nEqual test sensitivity and specificity logistic threshold: 0.4872\nEqual test sensitivity and specificity area: 0.378\nEqual test sensitivity and specificity training omission: 0.3476\nEqual test sensitivity and specificity test omission: 0.3776\nEqual test sensitivity and specificity binomial probability: 2.87E-31\nMaximum test sensitivity plus specificity cumulative threshold: 22.2167\nMaximum test sensitivity plus specificity logistic threshold: 0.4316\nMaximum test sensitivity plus specificity area: 0.5167\nMaximum test sensitivity plus specificity training omission: 0.1941\nMaximum test sensitivity plus specificity test omission: 0.1803\nMaximum test sensitivity plus specificity binomial probability: 2.32E-44\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3058\nBalance training omission, predicted area and threshold value logistic threshold: 0.1727\nBalance training omission, predicted area and threshold value area: 0.8407\nBalance training omission, predicted area and threshold value training omission: 0.0082\nBalance training omission, predicted area and threshold value test omission: 0.0114\nBalance training omission, predicted area and threshold value binomial probability: 8.53E-21\nEquate entropy of thresholded and original distributions cumulative threshold: 2.9687\nEquate entropy of thresholded and original distributions logistic threshold: 0.2334\nEquate entropy of thresholded and original distributions area: 0.7899\nEquate entropy of thresholded and original distributions training omission: 0.0175\nEquate entropy of thresholded and original distributions test omission: 0.0171\nEquate entropy of thresholded and original distributions binomial probability: 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logistic threshold: 0.3356\n10 percentile training presence area: 0.147\n10 percentile training presence training omission: 0.098\n10 percentile training presence test omission: 0.1311\n10 percentile training presence binomial probability: 2.19E-57\nEqual training sensitivity and specificity cumulative threshold: 20.1452\nEqual training sensitivity and specificity logistic threshold: 0.3631\nEqual training sensitivity and specificity area: 0.1307\nEqual training sensitivity and specificity training omission: 0.1307\nEqual training sensitivity and specificity test omission: 0.2131\nEqual training sensitivity and specificity binomial probability: 1.69E-52\nMaximum training sensitivity plus specificity cumulative threshold: 10.3567\nMaximum training sensitivity plus specificity logistic threshold: 0.2792\nMaximum training sensitivity plus specificity area: 0.1718\nMaximum training sensitivity plus specificity training omission: 0.0472\nMaximum training sensitivity plus specificity test 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 551\nRegularized training gain: 1.6047\nUnregularized training gain: 1.779\nIterations: 500\nTraining AUC: 0.938\n#Test samples: 61\nTest gain: 1.5894\nTest AUC: 0.9235\nAUC Standard Deviation: 0.0074\n#Background points: 10274\nbio_12_etrs2_ras contribution: 1.7246\nbio_15_etrs2_ras contribution: 4.5698\nbio_18_etrs2_ras contribution: 59.8598\nbio_4_etrs2_ras contribution: 3.0765\nbio_8_etrs2_ras contribution: 6.6394\ndist2water1km contribution: 4.6239\npet_he_yr contribution: 12.6501\nsoil_ph contribution: 4.9473\nsolar_1km contribution: 1.9085\nbio_12_etrs2_ras permutation importance: 4.663\nbio_15_etrs2_ras permutation importance: 7.0067\nbio_18_etrs2_ras permutation importance: 68.5827\nbio_4_etrs2_ras permutation importance: 2.3029\nbio_8_etrs2_ras permutation importance: 5.5913\ndist2water1km permutation importance: 2.5289\npet_he_yr permutation importance: 5.7074\nsoil_ph permutation importance: 2.2444\nsolar_1km permutation importance: 1.3729\nTraining gain without bio_12_etrs2_ras: 1.5757\nTraining gain without bio_15_etrs2_ras: 1.5485\nTraining gain without bio_18_etrs2_ras: 1.5242\nTraining gain without bio_4_etrs2_ras: 1.5871\nTraining gain without bio_8_etrs2_ras: 1.591\nTraining gain without dist2water1km: 1.5506\nTraining gain without pet_he_yr: 1.5634\nTraining gain without soil_ph: 1.5682\nTraining gain without solar_1km: 1.587\nTraining gain with only bio_12_etrs2_ras: 0.2283\nTraining gain with only bio_15_etrs2_ras: 0.3311\nTraining gain with only bio_18_etrs2_ras: 1.1116\nTraining gain with only bio_4_etrs2_ras: 0.3341\nTraining gain with only bio_8_etrs2_ras: 0.5807\nTraining gain with only dist2water1km: 0.271\nTraining gain with only pet_he_yr: 0.7354\nTraining gain with only soil_ph: 0.4561\nTraining gain with only solar_1km: 0.065\nTest gain without bio_12_etrs2_ras: 1.5697\nTest gain without bio_15_etrs2_ras: 1.5186\nTest gain without bio_18_etrs2_ras: 1.527\nTest gain without bio_4_etrs2_ras: 1.5532\nTest gain without bio_8_etrs2_ras: 1.5712\nTest gain without dist2water1km: 1.5316\nTest gain without pet_he_yr: 1.5343\nTest gain without soil_ph: 1.5744\nTest gain without solar_1km: 1.6178\nTest gain with only bio_12_etrs2_ras: 0.3124\nTest gain with only bio_15_etrs2_ras: 0.3377\nTest gain with only bio_18_etrs2_ras: 1.2686\nTest gain with only bio_4_etrs2_ras: 0.4335\nTest gain with only bio_8_etrs2_ras: 0.4994\nTest gain with only dist2water1km: 0.2666\nTest gain with only pet_he_yr: 0.8347\nTest gain with only soil_ph: 0.3684\nTest gain with only solar_1km: 0.0587\nAUC without bio_12_etrs2_ras: 0.9222\nAUC without bio_15_etrs2_ras: 0.9186\nAUC without bio_18_etrs2_ras: 0.9182\nAUC without bio_4_etrs2_ras: 0.9202\nAUC without bio_8_etrs2_ras: 0.922\nAUC without dist2water1km: 0.9177\nAUC without pet_he_yr: 0.9196\nAUC without soil_ph: 0.9236\nAUC without solar_1km: 0.9265\nAUC with only bio_12_etrs2_ras: 0.7167\nAUC with only bio_15_etrs2_ras: 0.7104\nAUC with only bio_18_etrs2_ras: 0.8877\nAUC with only bio_4_etrs2_ras: 0.7548\nAUC with only bio_8_etrs2_ras: 0.748\nAUC with only dist2water1km: 0.6277\nAUC with only pet_he_yr: 0.8383\nAUC with only soil_ph: 0.7267\nAUC with only solar_1km: 0.5968\nEntropy: 7.6441\nPrevalence (average of logistic output over background sites): 0.0991\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.02\nFixed cumulative value 1 area: 0.3258\nFixed cumulative value 1 training omission: 0.0018\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 1.36E-29\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1642\nFixed cumulative value 5 area: 0.2104\nFixed cumulative value 5 training omission: 0.0236\nFixed cumulative value 5 test omission: 0.0164\nFixed cumulative value 5 binomial probability: 5.90E-50\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2704\nFixed cumulative value 10 area: 0.1737\nFixed cumulative value 10 training omission: 0.0472\nFixed cumulative value 10 test omission: 0.0328\nFixed cumulative value 10 binomial probability: 1.96E-60\nMinimum training presence cumulative threshold: 0.0336\nMinimum training presence logistic threshold: 0.0006\nMinimum training presence area: 0.6798\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 4.15E-08\n10 percentile training presence cumulative threshold: 15.8236\n10 percentile training presence logistic threshold: 0.3356\n10 percentile training presence area: 0.147\n10 percentile training presence training omission: 0.098\n10 percentile training presence test omission: 0.1311\n10 percentile training presence binomial probability: 2.19E-57\nEqual training sensitivity and specificity cumulative threshold: 20.1452\nEqual training sensitivity and specificity logistic threshold: 0.3631\nEqual training sensitivity and specificity area: 0.1307\nEqual training sensitivity and specificity training omission: 0.1307\nEqual training sensitivity and specificity test omission: 0.2131\nEqual training sensitivity and specificity binomial probability: 1.69E-52\nMaximum training sensitivity plus specificity cumulative threshold: 10.3567\nMaximum training sensitivity plus specificity logistic threshold: 0.2792\nMaximum training sensitivity plus specificity area: 0.1718\nMaximum training sensitivity plus specificity training omission: 0.0472\nMaximum training sensitivity plus specificity test omission: 0.0492\nMaximum training sensitivity plus specificity binomial probability: 7.80E-59\nEqual test sensitivity and specificity cumulative threshold: 16.6824\nEqual test sensitivity and specificity logistic threshold: 0.3426\nEqual test sensitivity and specificity area: 0.1437\nEqual test sensitivity and specificity training omission: 0.1125\nEqual test sensitivity and specificity test omission: 0.1475\nEqual test sensitivity and specificity binomial probability: 2.04E-56\nMaximum test sensitivity plus specificity cumulative threshold: 7.834\nMaximum test sensitivity plus specificity logistic threshold: 0.23\nMaximum test sensitivity plus specificity area: 0.1869\nMaximum test sensitivity plus specificity training omission: 0.0381\nMaximum test sensitivity plus specificity test omission: 0.0164\nMaximum test sensitivity plus specificity binomial probability: 1.16E-57\nBalance training omission, predicted area and threshold value cumulative threshold: 2.1949\nBalance training omission, predicted area and threshold value logistic threshold: 0.0642\nBalance training omission, predicted area and threshold value area: 0.2575\nBalance training omission, predicted area and threshold value training omission: 0.0018\nBalance training omission, predicted area and threshold value test omission: 0\nBalance training omission, predicted area and threshold value binomial probability: 1.95E-40\nEquate entropy of thresholded and original distributions cumulative threshold: 5.7446\nEquate entropy of thresholded and original distributions logistic threshold: 0.1792\nEquate entropy of thresholded and original distributions area: 0.2032\nEquate entropy of thresholded and original distributions training omission: 0.0236\nEquate entropy of thresholded and original distributions test omission: 0.0164\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 8.5471\nbio_15_etrs2_ras permutation importance: 1.7433\nbio_18_etrs2_ras permutation importance: 28.5836\nbio_4_etrs2_ras permutation importance: 10.1037\nbio_8_etrs2_ras permutation importance: 4.8831\ndist2water1km permutation importance: 0.4372\npet_he_yr permutation importance: 43.5838\nsoil_ph permutation importance: 0.8323\nsolar_1km permutation importance: 1.2859\nTraining gain without bio_12_etrs2_ras: 0.4383\nTraining gain without bio_15_etrs2_ras: 0.4451\nTraining gain without bio_18_etrs2_ras: 0.4144\nTraining gain without bio_4_etrs2_ras: 0.4235\nTraining gain without bio_8_etrs2_ras: 0.4339\nTraining gain without dist2water1km: 0.4462\nTraining gain without pet_he_yr: 0.363\nTraining gain without soil_ph: 0.4451\nTraining gain without solar_1km: 0.4452\nTraining gain with only bio_12_etrs2_ras: 0.054\nTraining gain with only bio_15_etrs2_ras: 0.0377\nTraining gain with only bio_18_etrs2_ras: 0.1409\nTraining gain with only bio_4_etrs2_ras: 0.0639\nTraining gain with only bio_8_etrs2_ras: 0.1118\nTraining gain with only dist2water1km: 0.0006\nTraining gain with only pet_he_yr: 0.353\nTraining gain with only soil_ph: 0.0741\nTraining gain with only solar_1km: 0.0312\nTest gain without bio_12_etrs2_ras: 0.4823\nTest gain without bio_15_etrs2_ras: 0.4763\nTest gain without bio_18_etrs2_ras: 0.4537\nTest gain without bio_4_etrs2_ras: 0.4441\nTest gain without bio_8_etrs2_ras: 0.4509\nTest gain without dist2water1km: 0.4962\nTest gain without pet_he_yr: 0.4262\nTest gain without soil_ph: 0.4849\nTest gain without solar_1km: 0.4809\nTest gain with only bio_12_etrs2_ras: 0.0608\nTest gain with only bio_15_etrs2_ras: 0.0719\nTest gain with only bio_18_etrs2_ras: 0.1346\nTest gain with only bio_4_etrs2_ras: 0.1006\nTest gain with only bio_8_etrs2_ras: 0.1714\nTest gain with only dist2water1km: -0.0053\nTest gain with only pet_he_yr: 0.3424\nTest gain with only soil_ph: 0.0689\nTest gain with only solar_1km: 0.0537\nAUC without bio_12_etrs2_ras: 0.7676\nAUC without bio_15_etrs2_ras: 0.7657\nAUC without bio_18_etrs2_ras: 0.7586\nAUC without bio_4_etrs2_ras: 0.7555\nAUC without bio_8_etrs2_ras: 0.7583\nAUC without dist2water1km: 0.772\nAUC without pet_he_yr: 0.761\nAUC without soil_ph: 0.7676\nAUC without solar_1km: 0.7669\nAUC with only bio_12_etrs2_ras: 0.6014\nAUC with only bio_15_etrs2_ras: 0.6148\nAUC with only bio_18_etrs2_ras: 0.6444\nAUC with only bio_4_etrs2_ras: 0.6265\nAUC with only bio_8_etrs2_ras: 0.6681\nAUC with only dist2water1km: 0.4735\nAUC with only pet_he_yr: 0.7178\nAUC with only soil_ph: 0.5955\nAUC with only solar_1km: 0.567\nEntropy: 9.018\nPrevalence (average of logistic output over background sites): 0.3156\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0917\nFixed cumulative value 1 area: 0.8307\nFixed cumulative value 1 training omission: 0.0068\nFixed cumulative value 1 test omission: 0.0056\nFixed cumulative value 1 binomial probability: 6.52E-17\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1767\nFixed cumulative value 5 area: 0.6585\nFixed cumulative value 5 training omission: 0.0306\nFixed cumulative value 5 test omission: 0.0418\nFixed cumulative value 5 binomial probability: 2.43E-33\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2631\nFixed cumulative value 10 area: 0.5446\nFixed cumulative value 10 training omission: 0.0762\nFixed cumulative value 10 test omission: 0.0752\nFixed cumulative value 10 binomial probability: 1.03E-47\nMinimum training presence cumulative threshold: 0.0149\nMinimum training presence logistic threshold: 0.009\nMinimum training presence area: 0.9853\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.04E-02\n10 percentile training presence cumulative threshold: 12.6212\n10 percentile training presence logistic threshold: 0.2971\n10 percentile training presence area: 0.5013\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.0891\n10 percentile training presence binomial probability: 1.28E-54\nEqual training sensitivity and specificity cumulative threshold: 33.1923\nEqual training sensitivity and specificity logistic threshold: 0.4654\nEqual training sensitivity and specificity area: 0.2958\nEqual training sensitivity and specificity training omission: 0.2957\nEqual training sensitivity and specificity test omission: 0.3092\nEqual training sensitivity and specificity binomial probability: 9.86E-61\nMaximum training sensitivity plus specificity cumulative threshold: 24.8998\nMaximum training sensitivity plus specificity logistic threshold: 0.4201\nMaximum training sensitivity plus specificity area: 0.3624\nMaximum training sensitivity plus specificity training omission: 0.2157\nMaximum training sensitivity plus specificity test omission: 0.2284\nMaximum training sensitivity plus specificity binomial probability: 8.15E-59\nEqual test sensitivity and specificity cumulative threshold: 32.1479\nEqual test sensitivity and specificity logistic threshold: 0.4603\nEqual test sensitivity and specificity area: 0.3036\nEqual test sensitivity and specificity training omission: 0.2861\nEqual test sensitivity and specificity test omission: 0.3036\nEqual test sensitivity and specificity binomial probability: 3.36E-59\nMaximum test sensitivity plus specificity cumulative threshold: 16.053\nMaximum test sensitivity plus specificity logistic threshold: 0.3371\nMaximum test sensitivity plus specificity area: 0.454\nMaximum test sensitivity plus specificity training omission: 0.1346\nMaximum test sensitivity plus specificity test omission: 0.1226\nMaximum test sensitivity plus specificity binomial probability: 9.85E-59\nBalance training omission, predicted area and threshold value cumulative threshold: 2.721\nBalance training omission, predicted area and threshold value logistic threshold: 0.1279\nBalance training omission, predicted area and threshold value area: 0.7409\nBalance training omission, predicted area and threshold value training omission: 0.012\nBalance training omission, predicted area and threshold value test omission: 0.0223\nBalance training omission, predicted area and threshold value binomial probability: 6.52E-25\nEquate entropy of thresholded and original distributions cumulative threshold: 5.6288\nEquate entropy of thresholded and original distributions logistic threshold: 0.1888\nEquate entropy of thresholded and original distributions area: 0.6405\nEquate entropy of thresholded and original distributions training omission: 0.034\nEquate entropy of thresholded and original distributions test omission: 0.0474\nEquate entropy of thresholded and original distributions binomial probability: 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importance: 3.9736\nbio_15_etrs2_ras permutation importance: 9.7358\nbio_18_etrs2_ras permutation importance: 19.4918\nbio_4_etrs2_ras permutation importance: 10.5796\nbio_8_etrs2_ras permutation importance: 18.263\ndist2water1km permutation importance: 0\npet_he_yr permutation importance: 27.2839\nsoil_ph permutation importance: 6.0641\nsolar_1km permutation importance: 4.6082\nTraining gain without bio_12_etrs2_ras: 2.1807\nTraining gain without bio_15_etrs2_ras: 2.1887\nTraining gain without bio_18_etrs2_ras: 2.1442\nTraining gain without bio_4_etrs2_ras: 2.1211\nTraining gain without bio_8_etrs2_ras: 2.1565\nTraining gain without dist2water1km: 2.2355\nTraining gain without pet_he_yr: 2.0078\nTraining gain without soil_ph: 2.1652\nTraining gain without solar_1km: 2.2149\nTraining gain with only bio_12_etrs2_ras: 0.5069\nTraining gain with only bio_15_etrs2_ras: 0.33\nTraining gain with only bio_18_etrs2_ras: 0.2518\nTraining gain with only bio_4_etrs2_ras: 0.9333\nTraining gain with only bio_8_etrs2_ras: 0.5708\nTraining gain with only dist2water1km: 0.0473\nTraining gain with only pet_he_yr: 0.6878\nTraining gain with only soil_ph: 0.2248\nTraining gain with only solar_1km: 0.1627\nTest gain without bio_12_etrs2_ras: 1.656\nTest gain without bio_15_etrs2_ras: 1.4515\nTest gain without bio_18_etrs2_ras: 1.6262\nTest gain without bio_4_etrs2_ras: 1.7071\nTest gain without bio_8_etrs2_ras: 1.6351\nTest gain without dist2water1km: 1.7277\nTest gain without pet_he_yr: 1.6187\nTest gain without soil_ph: 1.4879\nTest gain without solar_1km: 1.7511\nTest gain with only bio_12_etrs2_ras: 0.5036\nTest gain with only bio_15_etrs2_ras: 0.4511\nTest gain with only bio_18_etrs2_ras: 0.1853\nTest gain with only bio_4_etrs2_ras: 0.8653\nTest gain with only bio_8_etrs2_ras: 0.3828\nTest gain with only dist2water1km: 0.0987\nTest gain with only pet_he_yr: 1.2185\nTest gain with only soil_ph: 0.3371\nTest gain with only solar_1km: 0.0119\nAUC without bio_12_etrs2_ras: 0.9133\nAUC without bio_15_etrs2_ras: 0.882\nAUC without bio_18_etrs2_ras: 0.9099\nAUC without bio_4_etrs2_ras: 0.91\nAUC without bio_8_etrs2_ras: 0.9006\nAUC without dist2water1km: 0.9187\nAUC without pet_he_yr: 0.9131\nAUC without soil_ph: 0.8801\nAUC without solar_1km: 0.904\nAUC with only bio_12_etrs2_ras: 0.6623\nAUC with only bio_15_etrs2_ras: 0.7424\nAUC with only bio_18_etrs2_ras: 0.6219\nAUC with only bio_4_etrs2_ras: 0.7687\nAUC with only bio_8_etrs2_ras: 0.7101\nAUC with only dist2water1km: 0.6527\nAUC with only pet_he_yr: 0.7435\nAUC with only soil_ph: 0.7257\nAUC with only solar_1km: 0.5614\nEntropy: 6.9906\nPrevalence (average of logistic output over background sites): 0.0525\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0065\nFixed cumulative value 1 area: 0.5736\nFixed cumulative value 1 training omission: 0.0101\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.21E-03\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.0319\nFixed cumulative value 5 area: 0.2861\nFixed cumulative value 5 training omission: 0.0303\nFixed cumulative value 5 test omission: 0.0909\nFixed cumulative value 5 binomial probability: 2.99E-05\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.0693\nFixed cumulative value 10 area: 0.1762\nFixed cumulative value 10 training omission: 0.0404\nFixed cumulative value 10 test omission: 0.2727\nFixed cumulative value 10 binomial probability: 9.22E-05\nMinimum training presence cumulative threshold: 0.5454\nMinimum training presence logistic threshold: 0.0041\nMinimum training presence area: 0.6691\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.20E-02\n10 percentile training presence cumulative threshold: 20.4176\n10 percentile training presence logistic threshold: 0.1663\n10 percentile training presence area: 0.0824\n10 percentile training presence training omission: 0.0909\n10 percentile training presence test omission: 0.3636\n10 percentile training presence binomial probability: 6.30E-06\nEqual training sensitivity and specificity cumulative threshold: 20.3993\nEqual training sensitivity and specificity logistic threshold: 0.1662\nEqual training sensitivity and specificity area: 0.0825\nEqual training sensitivity and specificity training omission: 0.0808\nEqual training sensitivity and specificity test omission: 0.3636\nEqual training sensitivity and specificity binomial probability: 6.35E-06\nMaximum training sensitivity plus specificity cumulative threshold: 20.3993\nMaximum training sensitivity plus specificity logistic threshold: 0.1662\nMaximum training sensitivity plus specificity area: 0.0825\nMaximum training sensitivity plus specificity training omission: 0.0808\nMaximum training sensitivity plus specificity test omission: 0.3636\nMaximum training sensitivity plus specificity binomial probability: 6.35E-06\nEqual test sensitivity and specificity cumulative threshold: 8.6222\nEqual test sensitivity and specificity logistic threshold: 0.0582\nEqual test sensitivity and specificity area: 0.1988\nEqual test sensitivity and specificity training omission: 0.0404\nEqual test sensitivity and specificity test omission: 0.1818\nEqual test sensitivity and specificity binomial probability: 1.80E-05\nMaximum test sensitivity plus specificity cumulative threshold: 8.543\nMaximum test sensitivity plus specificity logistic threshold: 0.0575\nMaximum test sensitivity plus specificity area: 0.2002\nMaximum test sensitivity plus specificity training omission: 0.0404\nMaximum test sensitivity plus specificity test omission: 0.0909\nMaximum test sensitivity plus specificity binomial probability: 9.33E-07\nBalance training omission, predicted area and threshold value cumulative threshold: 4.6728\nBalance training omission, predicted area and threshold value logistic threshold: 0.0295\nBalance training omission, predicted area and threshold value area: 0.2976\nBalance training omission, predicted area and threshold value training omission: 0.0101\nBalance training omission, predicted area and threshold value test omission: 0.0909\nBalance training omission, predicted area and threshold value binomial probability: 4.37E-05\nEquate entropy of thresholded and original distributions cumulative threshold: 16.1275\nEquate entropy of thresholded and original distributions logistic threshold: 0.1246\nEquate entropy of thresholded and original distributions area: 0.1104\nEquate entropy of thresholded and original distributions training omission: 0.0808\nEquate entropy of thresholded and original distributions test omission: 0.2727\nEquate entropy of thresholded and original distributions binomial probability: 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0.0597\nTraining gain with only bio_8_etrs2_ras: 0.1579\nTraining gain with only dist2water1km: 0.0184\nTraining gain with only pet_he_yr: 0.0814\nTraining gain with only soil_ph: 0.0166\nTraining gain with only solar_1km: 0.2315\nTest gain without bio_12_etrs2_ras: 0.3945\nTest gain without bio_15_etrs2_ras: 0.411\nTest gain without bio_18_etrs2_ras: 0.3891\nTest gain without bio_4_etrs2_ras: 0.4046\nTest gain without bio_8_etrs2_ras: 0.4117\nTest gain without dist2water1km: 0.4119\nTest gain without pet_he_yr: 0.4053\nTest gain without soil_ph: 0.4069\nTest gain without solar_1km: 0.3669\nTest gain with only bio_12_etrs2_ras: 0.107\nTest gain with only bio_15_etrs2_ras: 0.0533\nTest gain with only bio_18_etrs2_ras: 0.2085\nTest gain with only bio_4_etrs2_ras: 0.053\nTest gain with only bio_8_etrs2_ras: 0.157\nTest gain with only dist2water1km: 0.0235\nTest gain with only pet_he_yr: 0.0979\nTest gain with only soil_ph: 0.018\nTest gain with only solar_1km: 0.2364\nAUC without bio_12_etrs2_ras: 0.7485\nAUC without bio_15_etrs2_ras: 0.7515\nAUC without bio_18_etrs2_ras: 0.7455\nAUC without bio_4_etrs2_ras: 0.7513\nAUC without bio_8_etrs2_ras: 0.7509\nAUC without dist2water1km: 0.7518\nAUC without pet_he_yr: 0.7488\nAUC without soil_ph: 0.7501\nAUC without solar_1km: 0.7402\nAUC with only bio_12_etrs2_ras: 0.6363\nAUC with only bio_15_etrs2_ras: 0.5753\nAUC with only bio_18_etrs2_ras: 0.6826\nAUC with only bio_4_etrs2_ras: 0.58\nAUC with only bio_8_etrs2_ras: 0.6588\nAUC with only dist2water1km: 0.5504\nAUC with only pet_he_yr: 0.6199\nAUC with only soil_ph: 0.5528\nAUC with only solar_1km: 0.6876\nEntropy: 9.0145\nPrevalence (average of logistic output over background sites): 0.3252\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0691\nFixed cumulative value 1 area: 0.8021\nFixed cumulative value 1 training omission: 0.0062\nFixed cumulative value 1 test omission: 0.0185\nFixed cumulative value 1 binomial probability: 2.69E-16\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2225\nFixed cumulative value 5 area: 0.6459\nFixed cumulative value 5 training omission: 0.0387\nFixed cumulative value 5 test omission: 0.0648\nFixed cumulative value 5 binomial probability: 6.53E-28\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3073\nFixed cumulative value 10 area: 0.555\nFixed cumulative value 10 training omission: 0.0832\nFixed cumulative value 10 test omission: 0.1235\nFixed cumulative value 10 binomial probability: 1.20E-31\nMinimum training presence cumulative threshold: 0.0083\nMinimum training presence logistic threshold: 0.0063\nMinimum training presence area: 0.9854\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.43E-02\n10 percentile training presence cumulative threshold: 11.9852\n10 percentile training presence logistic threshold: 0.3296\n10 percentile training presence area: 0.527\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1327\n10 percentile training presence binomial probability: 6.85E-35\nEqual training sensitivity and specificity cumulative threshold: 34.7848\nEqual training sensitivity and specificity logistic threshold: 0.467\nEqual training sensitivity and specificity area: 0.3049\nEqual training sensitivity and specificity training omission: 0.3048\nEqual training sensitivity and specificity test omission: 0.3148\nEqual training sensitivity and specificity binomial probability: 2.65E-50\nMaximum training sensitivity plus specificity cumulative threshold: 29.9538\nMaximum training sensitivity plus specificity logistic threshold: 0.4459\nMaximum training sensitivity plus specificity area: 0.3428\nMaximum training sensitivity plus specificity training omission: 0.2579\nMaximum training sensitivity plus specificity test omission: 0.2809\nMaximum training sensitivity plus specificity binomial probability: 1.66E-46\nEqual test sensitivity and specificity cumulative threshold: 33.8958\nEqual test sensitivity and specificity logistic threshold: 0.4637\nEqual test sensitivity and specificity area: 0.3117\nEqual test sensitivity and specificity training omission: 0.2945\nEqual test sensitivity and specificity test omission: 0.3117\nEqual test sensitivity and specificity binomial probability: 8.68E-49\nMaximum test sensitivity plus specificity cumulative threshold: 37.3613\nMaximum test sensitivity plus specificity logistic threshold: 0.4783\nMaximum test sensitivity plus specificity area: 0.286\nMaximum test sensitivity plus specificity training omission: 0.3257\nMaximum test sensitivity plus specificity test omission: 0.3241\nMaximum test sensitivity plus specificity binomial probability: 1.06E-54\nBalance training omission, predicted area and threshold value cumulative 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 2920\nRegularized training gain: 0.4176\nUnregularized training gain: 0.4819\nIterations: 500\nTraining AUC: 0.7676\n#Test samples: 324\nTest gain: 0.4149\nTest AUC: 0.7524\nAUC Standard Deviation: 0.0123\n#Background points: 12479\nbio_12_etrs2_ras contribution: 4.4875\nbio_15_etrs2_ras contribution: 1.0157\nbio_18_etrs2_ras contribution: 31.0573\nbio_4_etrs2_ras contribution: 5.8461\nbio_8_etrs2_ras contribution: 5.4082\ndist2water1km contribution: 0.929\npet_he_yr contribution: 5.0005\nsoil_ph contribution: 1.7308\nsolar_1km contribution: 44.5248\nbio_12_etrs2_ras permutation importance: 20.9707\nbio_15_etrs2_ras permutation importance: 2.1819\nbio_18_etrs2_ras permutation importance: 26.6328\nbio_4_etrs2_ras permutation importance: 15.4539\nbio_8_etrs2_ras permutation importance: 4.9336\ndist2water1km permutation importance: 0.768\npet_he_yr permutation importance: 2.4987\nsoil_ph permutation importance: 1.6799\nsolar_1km permutation importance: 24.8805\nTraining gain without bio_12_etrs2_ras: 0.4051\nTraining gain without bio_15_etrs2_ras: 0.4129\nTraining gain without bio_18_etrs2_ras: 0.3829\nTraining gain without bio_4_etrs2_ras: 0.3947\nTraining gain without bio_8_etrs2_ras: 0.4121\nTraining gain without dist2water1km: 0.4148\nTraining gain without pet_he_yr: 0.4136\nTraining gain without soil_ph: 0.4113\nTraining gain without solar_1km: 0.3732\nTraining gain with only bio_12_etrs2_ras: 0.0961\nTraining gain with only bio_15_etrs2_ras: 0.0331\nTraining gain with only bio_18_etrs2_ras: 0.2175\nTraining gain with only bio_4_etrs2_ras: 0.0597\nTraining gain with only bio_8_etrs2_ras: 0.1579\nTraining gain with only dist2water1km: 0.0184\nTraining gain with only pet_he_yr: 0.0814\nTraining gain with only soil_ph: 0.0166\nTraining gain with only solar_1km: 0.2315\nTest gain without bio_12_etrs2_ras: 0.3945\nTest gain without bio_15_etrs2_ras: 0.411\nTest gain without bio_18_etrs2_ras: 0.3891\nTest gain without bio_4_etrs2_ras: 0.4046\nTest gain without bio_8_etrs2_ras: 0.4117\nTest gain without dist2water1km: 0.4119\nTest gain without pet_he_yr: 0.4053\nTest gain without soil_ph: 0.4069\nTest gain without solar_1km: 0.3669\nTest gain with only bio_12_etrs2_ras: 0.107\nTest gain with only bio_15_etrs2_ras: 0.0533\nTest gain with only bio_18_etrs2_ras: 0.2085\nTest gain with only bio_4_etrs2_ras: 0.053\nTest gain with only bio_8_etrs2_ras: 0.157\nTest gain with only dist2water1km: 0.0235\nTest gain with only pet_he_yr: 0.0979\nTest gain with only soil_ph: 0.018\nTest gain with only solar_1km: 0.2364\nAUC without bio_12_etrs2_ras: 0.7485\nAUC without bio_15_etrs2_ras: 0.7515\nAUC without bio_18_etrs2_ras: 0.7455\nAUC without bio_4_etrs2_ras: 0.7513\nAUC without bio_8_etrs2_ras: 0.7509\nAUC without dist2water1km: 0.7518\nAUC without pet_he_yr: 0.7488\nAUC without soil_ph: 0.7501\nAUC without solar_1km: 0.7402\nAUC with only bio_12_etrs2_ras: 0.6363\nAUC with only bio_15_etrs2_ras: 0.5753\nAUC with only bio_18_etrs2_ras: 0.6826\nAUC with only bio_4_etrs2_ras: 0.58\nAUC with only bio_8_etrs2_ras: 0.6588\nAUC with only dist2water1km: 0.5504\nAUC with only pet_he_yr: 0.6199\nAUC with only soil_ph: 0.5528\nAUC with only solar_1km: 0.6876\nEntropy: 9.0145\nPrevalence (average of logistic output over background sites): 0.3252\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0691\nFixed cumulative value 1 area: 0.8021\nFixed cumulative value 1 training omission: 0.0062\nFixed cumulative value 1 test omission: 0.0185\nFixed cumulative value 1 binomial probability: 2.69E-16\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.2225\nFixed cumulative value 5 area: 0.6459\nFixed cumulative value 5 training omission: 0.0387\nFixed cumulative value 5 test omission: 0.0648\nFixed cumulative value 5 binomial probability: 6.53E-28\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.3073\nFixed cumulative value 10 area: 0.555\nFixed cumulative value 10 training omission: 0.0832\nFixed cumulative value 10 test omission: 0.1235\nFixed cumulative value 10 binomial probability: 1.20E-31\nMinimum training presence cumulative threshold: 0.0083\nMinimum training presence logistic threshold: 0.0063\nMinimum training presence area: 0.9854\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 1.43E-02\n10 percentile training presence cumulative threshold: 11.9852\n10 percentile training presence logistic threshold: 0.3296\n10 percentile training presence area: 0.527\n10 percentile training presence training omission: 0.1\n10 percentile training presence test omission: 0.1327\n10 percentile training presence binomial probability: 6.85E-35\nEqual training sensitivity and specificity cumulative threshold: 34.7848\nEqual training sensitivity and specificity logistic threshold: 0.467\nEqual training sensitivity and specificity area: 0.3049\nEqual training sensitivity and specificity training omission: 0.3048\nEqual training sensitivity and specificity test omission: 0.3148\nEqual training sensitivity and specificity binomial probability: 2.65E-50\nMaximum training sensitivity plus specificity cumulative threshold: 29.9538\nMaximum training sensitivity plus specificity logistic threshold: 0.4459\nMaximum training sensitivity plus specificity area: 0.3428\nMaximum training sensitivity plus specificity training omission: 0.2579\nMaximum training sensitivity plus specificity test omission: 0.2809\nMaximum training sensitivity plus specificity binomial probability: 1.66E-46\nEqual test sensitivity and specificity cumulative threshold: 33.8958\nEqual test sensitivity and specificity logistic threshold: 0.4637\nEqual test sensitivity and specificity area: 0.3117\nEqual test sensitivity and specificity training omission: 0.2945\nEqual test sensitivity and specificity test omission: 0.3117\nEqual test sensitivity and specificity binomial probability: 8.68E-49\nMaximum test sensitivity plus specificity cumulative threshold: 37.3613\nMaximum test sensitivity plus specificity logistic threshold: 0.4783\nMaximum test sensitivity plus specificity area: 0.286\nMaximum test sensitivity plus specificity training omission: 0.3257\nMaximum test sensitivity plus specificity test omission: 0.3241\nMaximum test sensitivity plus specificity binomial probability: 1.06E-54\nBalance training omission, predicted area and threshold value cumulative threshold: 1.3525\nBalance training omission, predicted area and threshold value logistic threshold: 0.0904\nBalance training omission, predicted area and threshold value area: 0.7752\nBalance training omission, predicted area and threshold value training omission: 0.0086\nBalance training omission, predicted area and threshold value test omission: 0.0216\nBalance training omission, predicted area and threshold value binomial probability: 9.69E-19\nEquate entropy of thresholded and original distributions cumulative threshold: 4.4583\nEquate entropy of thresholded and original distributions logistic threshold: 0.2099\nEquate entropy of thresholded and original distributions area: 0.6588\nEquate entropy of thresholded and original distributions training omission: 0.0349\nEquate entropy of thresholded and original distributions test omission: 0.0617\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 8.2742\nbio_15_etrs2_ras permutation importance: 4.8344\nbio_18_etrs2_ras permutation importance: 7.7293\nbio_4_etrs2_ras permutation importance: 8.2256\nbio_8_etrs2_ras permutation importance: 2.9707\ndist2water1km permutation importance: 0.6642\npet_he_yr permutation importance: 48.6548\nsoil_ph permutation importance: 4.8846\nsolar_1km permutation importance: 13.7621\nTraining gain without bio_12_etrs2_ras: 0.9507\nTraining gain without bio_15_etrs2_ras: 0.9557\nTraining gain without bio_18_etrs2_ras: 0.9528\nTraining gain without bio_4_etrs2_ras: 0.9495\nTraining gain without bio_8_etrs2_ras: 0.9526\nTraining gain without dist2water1km: 0.9602\nTraining gain without pet_he_yr: 0.8616\nTraining gain without soil_ph: 0.9288\nTraining gain without solar_1km: 0.9332\nTraining gain with only bio_12_etrs2_ras: 0.1415\nTraining gain with only bio_15_etrs2_ras: 0.2006\nTraining gain with only bio_18_etrs2_ras: 0.3148\nTraining gain with only bio_4_etrs2_ras: 0.245\nTraining gain with only bio_8_etrs2_ras: 0.1616\nTraining gain with only dist2water1km: 0.0125\nTraining gain with only pet_he_yr: 0.5099\nTraining gain with only soil_ph: 0.1791\nTraining gain with only solar_1km: 0.4046\nTest gain without bio_12_etrs2_ras: 1.0301\nTest gain without bio_15_etrs2_ras: 1.0312\nTest gain without bio_18_etrs2_ras: 1.0747\nTest gain without bio_4_etrs2_ras: 1.0379\nTest gain without bio_8_etrs2_ras: 1.042\nTest gain without dist2water1km: 1.0634\nTest gain without pet_he_yr: 0.9489\nTest gain without soil_ph: 1.0002\nTest gain without solar_1km: 0.991\nTest gain with only bio_12_etrs2_ras: 0.2311\nTest gain with only bio_15_etrs2_ras: 0.1864\nTest gain with only bio_18_etrs2_ras: 0.2508\nTest gain with only bio_4_etrs2_ras: 0.2853\nTest gain with only bio_8_etrs2_ras: 0.0853\nTest gain with only dist2water1km: -0.0179\nTest gain with only pet_he_yr: 0.5489\nTest gain with only soil_ph: 0.1955\nTest gain with only solar_1km: 0.5845\nAUC without bio_12_etrs2_ras: 0.854\nAUC without bio_15_etrs2_ras: 0.8543\nAUC without bio_18_etrs2_ras: 0.8603\nAUC without bio_4_etrs2_ras: 0.8536\nAUC without bio_8_etrs2_ras: 0.8541\nAUC without dist2water1km: 0.8571\nAUC without pet_he_yr: 0.8424\nAUC without soil_ph: 0.8493\nAUC without solar_1km: 0.8517\nAUC with only bio_12_etrs2_ras: 0.6892\nAUC with only bio_15_etrs2_ras: 0.6548\nAUC with only bio_18_etrs2_ras: 0.694\nAUC with only bio_4_etrs2_ras: 0.6999\nAUC with only bio_8_etrs2_ras: 0.629\nAUC with only dist2water1km: 0.5019\nAUC with only pet_he_yr: 0.788\nAUC with only soil_ph: 0.6598\nAUC with only solar_1km: 0.7956\nEntropy: 8.2719\nPrevalence (average of logistic output over background sites): 0.185\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0354\nFixed cumulative value 1 area: 0.7053\nFixed cumulative value 1 training omission: 0.0035\nFixed cumulative value 1 test omission: 0.0312\nFixed cumulative value 1 binomial probability: 1.89E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1035\nFixed cumulative value 5 area: 0.4894\nFixed cumulative value 5 training omission: 0.0259\nFixed cumulative value 5 test omission: 0.1094\nFixed cumulative value 5 binomial probability: 6.80E-11\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1678\nFixed cumulative value 10 area: 0.3644\nFixed cumulative value 10 training omission: 0.0794\nFixed cumulative value 10 test omission: 0.1406\nFixed cumulative value 10 binomial probability: 9.48E-17\nMinimum training presence cumulative threshold: 0.4185\nMinimum training presence logistic threshold: 0.021\nMinimum training presence area: 0.7834\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0156\nMinimum training presence binomial probability: 4.74E-05\n10 percentile training presence cumulative threshold: 12.3711\n10 percentile training presence logistic threshold: 0.1982\n10 percentile training presence area: 0.3239\n10 percentile training presence training omission: 0.0984\n10 percentile training presence test omission: 0.1406\n10 percentile training presence binomial probability: 2.75E-20\nEqual training sensitivity and specificity cumulative threshold: 24.6017\nEqual training sensitivity and specificity logistic threshold: 0.3503\nEqual training sensitivity and specificity area: 0.1937\nEqual training sensitivity and specificity training omission: 0.1934\nEqual training sensitivity and specificity test omission: 0.1875\nEqual training sensitivity and specificity binomial probability: 2.63E-36\nMaximum training sensitivity plus specificity cumulative threshold: 21.2849\nMaximum training sensitivity plus specificity logistic threshold: 0.3032\nMaximum training sensitivity plus specificity area: 0.22\nMaximum training sensitivity plus specificity training omission: 0.1623\nMaximum training sensitivity plus specificity test omission: 0.1875\nMaximum training sensitivity plus specificity binomial probability: 1.26E-30\nEqual test sensitivity and specificity cumulative threshold: 25.4949\nEqual test sensitivity and specificity logistic threshold: 0.3639\nEqual test sensitivity and specificity area: 0.1875\nEqual test sensitivity and specificity training omission: 0.2021\nEqual test sensitivity and specificity test omission: 0.1875\nEqual test sensitivity and specificity binomial probability: 7.24E-38\nMaximum test sensitivity plus specificity cumulative threshold: 25.9766\nMaximum test sensitivity plus specificity logistic threshold: 0.3695\nMaximum test sensitivity plus specificity area: 0.1843\nMaximum test sensitivity plus specificity training omission: 0.2073\nMaximum test sensitivity plus specificity test omission: 0.1875\nMaximum test sensitivity plus specificity binomial probability: 1.00E-38\nBalance training omission, predicted area and threshold value cumulative 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 579\nRegularized training gain: 0.9656\nUnregularized training gain: 1.0986\nIterations: 500\nTraining AUC: 0.8759\n#Test samples: 64\nTest gain: 1.0492\nTest AUC: 0.855\nAUC Standard Deviation: 0.0253\n#Background points: 10234\nbio_12_etrs2_ras contribution: 2.9986\nbio_15_etrs2_ras contribution: 5.7861\nbio_18_etrs2_ras contribution: 11.3991\nbio_4_etrs2_ras contribution: 4.0095\nbio_8_etrs2_ras contribution: 1.4044\ndist2water1km contribution: 0.6122\npet_he_yr contribution: 48.1552\nsoil_ph contribution: 4.7057\nsolar_1km contribution: 20.9292\nbio_12_etrs2_ras permutation importance: 8.2742\nbio_15_etrs2_ras permutation importance: 4.8344\nbio_18_etrs2_ras permutation importance: 7.7293\nbio_4_etrs2_ras permutation importance: 8.2256\nbio_8_etrs2_ras permutation importance: 2.9707\ndist2water1km permutation importance: 0.6642\npet_he_yr permutation importance: 48.6548\nsoil_ph permutation importance: 4.8846\nsolar_1km permutation importance: 13.7621\nTraining gain without bio_12_etrs2_ras: 0.9507\nTraining gain without bio_15_etrs2_ras: 0.9557\nTraining gain without bio_18_etrs2_ras: 0.9528\nTraining gain without bio_4_etrs2_ras: 0.9495\nTraining gain without bio_8_etrs2_ras: 0.9526\nTraining gain without dist2water1km: 0.9602\nTraining gain without pet_he_yr: 0.8616\nTraining gain without soil_ph: 0.9288\nTraining gain without solar_1km: 0.9332\nTraining gain with only bio_12_etrs2_ras: 0.1415\nTraining gain with only bio_15_etrs2_ras: 0.2006\nTraining gain with only bio_18_etrs2_ras: 0.3148\nTraining gain with only bio_4_etrs2_ras: 0.245\nTraining gain with only bio_8_etrs2_ras: 0.1616\nTraining gain with only dist2water1km: 0.0125\nTraining gain with only pet_he_yr: 0.5099\nTraining gain with only soil_ph: 0.1791\nTraining gain with only solar_1km: 0.4046\nTest gain without bio_12_etrs2_ras: 1.0301\nTest gain without bio_15_etrs2_ras: 1.0312\nTest gain without bio_18_etrs2_ras: 1.0747\nTest gain without bio_4_etrs2_ras: 1.0379\nTest gain without bio_8_etrs2_ras: 1.042\nTest gain without dist2water1km: 1.0634\nTest gain without pet_he_yr: 0.9489\nTest gain without soil_ph: 1.0002\nTest gain without solar_1km: 0.991\nTest gain with only bio_12_etrs2_ras: 0.2311\nTest gain with only bio_15_etrs2_ras: 0.1864\nTest gain with only bio_18_etrs2_ras: 0.2508\nTest gain with only bio_4_etrs2_ras: 0.2853\nTest gain with only bio_8_etrs2_ras: 0.0853\nTest gain with only dist2water1km: -0.0179\nTest gain with only pet_he_yr: 0.5489\nTest gain with only soil_ph: 0.1955\nTest gain with only solar_1km: 0.5845\nAUC without bio_12_etrs2_ras: 0.854\nAUC without bio_15_etrs2_ras: 0.8543\nAUC without bio_18_etrs2_ras: 0.8603\nAUC without bio_4_etrs2_ras: 0.8536\nAUC without bio_8_etrs2_ras: 0.8541\nAUC without dist2water1km: 0.8571\nAUC without pet_he_yr: 0.8424\nAUC without soil_ph: 0.8493\nAUC without solar_1km: 0.8517\nAUC with only bio_12_etrs2_ras: 0.6892\nAUC with only bio_15_etrs2_ras: 0.6548\nAUC with only bio_18_etrs2_ras: 0.694\nAUC with only bio_4_etrs2_ras: 0.6999\nAUC with only bio_8_etrs2_ras: 0.629\nAUC with only dist2water1km: 0.5019\nAUC with only pet_he_yr: 0.788\nAUC with only soil_ph: 0.6598\nAUC with only solar_1km: 0.7956\nEntropy: 8.2719\nPrevalence (average of logistic output over background sites): 0.185\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0354\nFixed cumulative value 1 area: 0.7053\nFixed cumulative value 1 training omission: 0.0035\nFixed cumulative value 1 test omission: 0.0312\nFixed cumulative value 1 binomial probability: 1.89E-06\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1035\nFixed cumulative value 5 area: 0.4894\nFixed cumulative value 5 training omission: 0.0259\nFixed cumulative value 5 test omission: 0.1094\nFixed cumulative value 5 binomial probability: 6.80E-11\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1678\nFixed cumulative value 10 area: 0.3644\nFixed cumulative value 10 training omission: 0.0794\nFixed cumulative value 10 test omission: 0.1406\nFixed cumulative value 10 binomial probability: 9.48E-17\nMinimum training presence cumulative threshold: 0.4185\nMinimum training presence logistic threshold: 0.021\nMinimum training presence area: 0.7834\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0.0156\nMinimum training presence binomial probability: 4.74E-05\n10 percentile training presence cumulative threshold: 12.3711\n10 percentile training presence logistic threshold: 0.1982\n10 percentile training presence area: 0.3239\n10 percentile training presence training omission: 0.0984\n10 percentile training presence test omission: 0.1406\n10 percentile training presence binomial probability: 2.75E-20\nEqual training sensitivity and specificity cumulative threshold: 24.6017\nEqual training sensitivity and specificity logistic threshold: 0.3503\nEqual training sensitivity and specificity area: 0.1937\nEqual training sensitivity and specificity training omission: 0.1934\nEqual training sensitivity and specificity test omission: 0.1875\nEqual training sensitivity and specificity binomial probability: 2.63E-36\nMaximum training sensitivity plus specificity cumulative threshold: 21.2849\nMaximum training sensitivity plus specificity logistic threshold: 0.3032\nMaximum training sensitivity plus specificity area: 0.22\nMaximum training sensitivity plus specificity training omission: 0.1623\nMaximum training sensitivity plus specificity test omission: 0.1875\nMaximum training sensitivity plus specificity binomial probability: 1.26E-30\nEqual test sensitivity and specificity cumulative threshold: 25.4949\nEqual test sensitivity and specificity logistic threshold: 0.3639\nEqual test sensitivity and specificity area: 0.1875\nEqual test sensitivity and specificity training omission: 0.2021\nEqual test sensitivity and specificity test omission: 0.1875\nEqual test sensitivity and specificity binomial probability: 7.24E-38\nMaximum test sensitivity plus specificity cumulative threshold: 25.9766\nMaximum test sensitivity plus specificity logistic threshold: 0.3695\nMaximum test sensitivity plus specificity area: 0.1843\nMaximum test sensitivity plus specificity training omission: 0.2073\nMaximum test sensitivity plus specificity test omission: 0.1875\nMaximum test sensitivity plus specificity binomial probability: 1.00E-38\nBalance training omission, predicted area and threshold value cumulative threshold: 2.6463\nBalance training omission, predicted area and threshold value logistic threshold: 0.0679\nBalance training omission, predicted area and threshold value area: 0.5864\nBalance training omission, predicted area and threshold value training omission: 0.0121\nBalance training omission, predicted area and threshold value test omission: 0.0625\nBalance training omission, predicted area and threshold value binomial probability: 5.86E-09\nEquate entropy of thresholded and original distributions cumulative threshold: 9.1017\nEquate entropy of thresholded and original distributions logistic threshold: 0.1562\nEquate entropy of thresholded and original distributions area: 0.3823\nEquate entropy of thresholded and original distributions training omission: 0.076\nEquate entropy of thresholded and original distributions test omission: 0.1406\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 0.6544\nbio_15_etrs2_ras permutation importance: 18.6682\nbio_18_etrs2_ras permutation importance: 40.5422\nbio_4_etrs2_ras permutation importance: 6.5935\nbio_8_etrs2_ras permutation importance: 14.2185\ndist2water1km permutation importance: 0.7874\npet_he_yr permutation importance: 17.1559\nsoil_ph permutation importance: 1.1483\nsolar_1km permutation importance: 0.2316\nTraining gain without bio_12_etrs2_ras: 1.4612\nTraining gain without bio_15_etrs2_ras: 1.4003\nTraining gain without bio_18_etrs2_ras: 1.4223\nTraining gain without bio_4_etrs2_ras: 1.4346\nTraining gain without bio_8_etrs2_ras: 1.4211\nTraining gain without dist2water1km: 1.4566\nTraining gain without pet_he_yr: 1.4023\nTraining gain without soil_ph: 1.4587\nTraining gain without solar_1km: 1.4645\nTraining gain with only bio_12_etrs2_ras: 0.1733\nTraining gain with only bio_15_etrs2_ras: 0.4351\nTraining gain with only bio_18_etrs2_ras: 1.1013\nTraining gain with only bio_4_etrs2_ras: 0.3755\nTraining gain with only bio_8_etrs2_ras: 0.6138\nTraining gain with only dist2water1km: 0.1145\nTraining gain with only pet_he_yr: 0.7947\nTraining gain with only soil_ph: 0.234\nTraining gain with only solar_1km: 0.0697\nTest gain without bio_12_etrs2_ras: 1.3821\nTest gain without bio_15_etrs2_ras: 1.3661\nTest gain without bio_18_etrs2_ras: 1.3499\nTest gain without bio_4_etrs2_ras: 1.3255\nTest gain without bio_8_etrs2_ras: 1.385\nTest gain without dist2water1km: 1.4099\nTest gain without pet_he_yr: 1.3167\nTest gain without soil_ph: 1.3679\nTest gain without solar_1km: 1.3877\nTest gain with only bio_12_etrs2_ras: 0.2158\nTest gain with only bio_15_etrs2_ras: 0.4275\nTest gain with only bio_18_etrs2_ras: 1.1492\nTest gain with only bio_4_etrs2_ras: 0.4443\nTest gain with only bio_8_etrs2_ras: 0.5644\nTest gain with only dist2water1km: 0.0488\nTest gain with only pet_he_yr: 0.8758\nTest gain with only soil_ph: 0.2647\nTest gain with only solar_1km: 0.0598\nAUC without bio_12_etrs2_ras: 0.9065\nAUC without bio_15_etrs2_ras: 0.9046\nAUC without bio_18_etrs2_ras: 0.9025\nAUC without bio_4_etrs2_ras: 0.9009\nAUC without bio_8_etrs2_ras: 0.906\nAUC without dist2water1km: 0.9102\nAUC without pet_he_yr: 0.9\nAUC without soil_ph: 0.9056\nAUC without solar_1km: 0.9073\nAUC with only bio_12_etrs2_ras: 0.6764\nAUC with only bio_15_etrs2_ras: 0.7232\nAUC with only bio_18_etrs2_ras: 0.8801\nAUC with only bio_4_etrs2_ras: 0.7518\nAUC with only bio_8_etrs2_ras: 0.7914\nAUC with only dist2water1km: 0.5488\nAUC with only pet_he_yr: 0.8469\nAUC with only soil_ph: 0.6782\nAUC with only solar_1km: 0.5839\nEntropy: 7.8424\nPrevalence (average of logistic output over background sites): 0.1122\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.015\nFixed cumulative value 1 area: 0.3882\nFixed cumulative value 1 training omission: 0.0026\nFixed cumulative value 1 test omission: 0.0079\nFixed cumulative value 1 binomial probability: 1.26E-44\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1598\nFixed cumulative value 5 area: 0.2246\nFixed cumulative value 5 training omission: 0.0262\nFixed cumulative value 5 test omission: 0.063\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2691\nFixed cumulative value 10 area: 0.1822\nFixed cumulative value 10 training omission: 0.0741\nFixed cumulative value 10 test omission: 0.1339\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0039\nMinimum training presence logistic threshold: 0.0002\nMinimum training presence area: 0.9007\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.16E-05\n10 percentile training presence cumulative threshold: 12.5977\n10 percentile training presence logistic threshold: 0.3089\n10 percentile training presence area: 0.1673\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1496\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 16.4336\nEqual training sensitivity and specificity logistic threshold: 0.3635\nEqual training sensitivity and specificity area: 0.1498\nEqual training sensitivity and specificity training omission: 0.15\nEqual training sensitivity and specificity test omission: 0.1654\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.6058\nMaximum training sensitivity plus specificity logistic threshold: 0.2036\nMaximum training sensitivity plus specificity area: 0.2078\nMaximum training sensitivity plus specificity training omission: 0.0349\nMaximum training sensitivity plus specificity test omission: 0.0866\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 14.636\nEqual test sensitivity and specificity logistic threshold: 0.3406\nEqual test sensitivity and specificity area: 0.1575\nEqual test sensitivity and specificity training omission: 0.1238\nEqual test sensitivity and specificity test omission: 0.1575\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 5.3119\nMaximum test sensitivity plus specificity logistic threshold: 0.1678\nMaximum test sensitivity plus specificity area: 0.2209\nMaximum test sensitivity plus specificity training omission: 0.0279\nMaximum test sensitivity plus specificity test omission: 0.063\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1147\nRegularized training gain: 1.4645\nUnregularized training gain: 1.5375\nIterations: 500\nTraining AUC: 0.9184\n#Test samples: 127\nTest gain: 1.3833\nTest AUC: 0.9068\nAUC Standard Deviation: 0.0076\n#Background points: 10951\nbio_12_etrs2_ras contribution: 0.2254\nbio_15_etrs2_ras contribution: 7.9341\nbio_18_etrs2_ras contribution: 58.7016\nbio_4_etrs2_ras contribution: 7.5346\nbio_8_etrs2_ras contribution: 7.2427\ndist2water1km contribution: 0.1675\npet_he_yr contribution: 17.7312\nsoil_ph contribution: 0.4114\nsolar_1km contribution: 0.0516\nbio_12_etrs2_ras permutation importance: 0.6544\nbio_15_etrs2_ras permutation importance: 18.6682\nbio_18_etrs2_ras permutation importance: 40.5422\nbio_4_etrs2_ras permutation importance: 6.5935\nbio_8_etrs2_ras permutation importance: 14.2185\ndist2water1km permutation importance: 0.7874\npet_he_yr permutation importance: 17.1559\nsoil_ph permutation importance: 1.1483\nsolar_1km permutation importance: 0.2316\nTraining gain without bio_12_etrs2_ras: 1.4612\nTraining gain without bio_15_etrs2_ras: 1.4003\nTraining gain without bio_18_etrs2_ras: 1.4223\nTraining gain without bio_4_etrs2_ras: 1.4346\nTraining gain without bio_8_etrs2_ras: 1.4211\nTraining gain without dist2water1km: 1.4566\nTraining gain without pet_he_yr: 1.4023\nTraining gain without soil_ph: 1.4587\nTraining gain without solar_1km: 1.4645\nTraining gain with only bio_12_etrs2_ras: 0.1733\nTraining gain with only bio_15_etrs2_ras: 0.4351\nTraining gain with only bio_18_etrs2_ras: 1.1013\nTraining gain with only bio_4_etrs2_ras: 0.3755\nTraining gain with only bio_8_etrs2_ras: 0.6138\nTraining gain with only dist2water1km: 0.1145\nTraining gain with only pet_he_yr: 0.7947\nTraining gain with only soil_ph: 0.234\nTraining gain with only solar_1km: 0.0697\nTest gain without bio_12_etrs2_ras: 1.3821\nTest gain without bio_15_etrs2_ras: 1.3661\nTest gain without bio_18_etrs2_ras: 1.3499\nTest gain without bio_4_etrs2_ras: 1.3255\nTest gain without bio_8_etrs2_ras: 1.385\nTest gain without dist2water1km: 1.4099\nTest gain without pet_he_yr: 1.3167\nTest gain without soil_ph: 1.3679\nTest gain without solar_1km: 1.3877\nTest gain with only bio_12_etrs2_ras: 0.2158\nTest gain with only bio_15_etrs2_ras: 0.4275\nTest gain with only bio_18_etrs2_ras: 1.1492\nTest gain with only bio_4_etrs2_ras: 0.4443\nTest gain with only bio_8_etrs2_ras: 0.5644\nTest gain with only dist2water1km: 0.0488\nTest gain with only pet_he_yr: 0.8758\nTest gain with only soil_ph: 0.2647\nTest gain with only solar_1km: 0.0598\nAUC without bio_12_etrs2_ras: 0.9065\nAUC without bio_15_etrs2_ras: 0.9046\nAUC without bio_18_etrs2_ras: 0.9025\nAUC without bio_4_etrs2_ras: 0.9009\nAUC without bio_8_etrs2_ras: 0.906\nAUC without dist2water1km: 0.9102\nAUC without pet_he_yr: 0.9\nAUC without soil_ph: 0.9056\nAUC without solar_1km: 0.9073\nAUC with only bio_12_etrs2_ras: 0.6764\nAUC with only bio_15_etrs2_ras: 0.7232\nAUC with only bio_18_etrs2_ras: 0.8801\nAUC with only bio_4_etrs2_ras: 0.7518\nAUC with only bio_8_etrs2_ras: 0.7914\nAUC with only dist2water1km: 0.5488\nAUC with only pet_he_yr: 0.8469\nAUC with only soil_ph: 0.6782\nAUC with only solar_1km: 0.5839\nEntropy: 7.8424\nPrevalence (average of logistic output over background sites): 0.1122\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.015\nFixed cumulative value 1 area: 0.3882\nFixed cumulative value 1 training omission: 0.0026\nFixed cumulative value 1 test omission: 0.0079\nFixed cumulative value 1 binomial probability: 1.26E-44\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1598\nFixed cumulative value 5 area: 0.2246\nFixed cumulative value 5 training omission: 0.0262\nFixed cumulative value 5 test omission: 0.063\nFixed cumulative value 5 binomial probability: 0.00E+00\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.2691\nFixed cumulative value 10 area: 0.1822\nFixed cumulative value 10 training omission: 0.0741\nFixed cumulative value 10 test omission: 0.1339\nFixed cumulative value 10 binomial probability: 0.00E+00\nMinimum training presence cumulative threshold: 0.0039\nMinimum training presence logistic threshold: 0.0002\nMinimum training presence area: 0.9007\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 9.16E-05\n10 percentile training presence cumulative threshold: 12.5977\n10 percentile training presence logistic threshold: 0.3089\n10 percentile training presence area: 0.1673\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1496\n10 percentile training presence binomial probability: 0.00E+00\nEqual training sensitivity and specificity cumulative threshold: 16.4336\nEqual training sensitivity and specificity logistic threshold: 0.3635\nEqual training sensitivity and specificity area: 0.1498\nEqual training sensitivity and specificity training omission: 0.15\nEqual training sensitivity and specificity test omission: 0.1654\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 6.6058\nMaximum training sensitivity plus specificity logistic threshold: 0.2036\nMaximum training sensitivity plus specificity area: 0.2078\nMaximum training sensitivity plus specificity training omission: 0.0349\nMaximum training sensitivity plus specificity test omission: 0.0866\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 14.636\nEqual test sensitivity and specificity logistic threshold: 0.3406\nEqual test sensitivity and specificity area: 0.1575\nEqual test sensitivity and specificity training omission: 0.1238\nEqual test sensitivity and specificity test omission: 0.1575\nEqual test sensitivity and specificity binomial probability: 0.00E+00\nMaximum test sensitivity plus specificity cumulative threshold: 5.3119\nMaximum test sensitivity plus specificity logistic threshold: 0.1678\nMaximum test sensitivity plus specificity area: 0.2209\nMaximum test sensitivity plus specificity training omission: 0.0279\nMaximum test sensitivity plus specificity test omission: 0.063\nMaximum test sensitivity plus specificity binomial probability: 0.00E+00\nBalance training omission, predicted area and threshold value cumulative threshold: 2.6888\nBalance training omission, predicted area and threshold value logistic threshold: 0.0716\nBalance training omission, predicted area and threshold value area: 0.2674\nBalance training omission, predicted area and threshold value training omission: 0.007\nBalance training omission, predicted area and threshold value test omission: 0.0394\nBalance training omission, predicted area and threshold value binomial probability: 0.00E+00\nEquate entropy of thresholded and original distributions cumulative threshold: 4.414\nEquate entropy of thresholded and original distributions logistic threshold: 0.1373\nEquate entropy of thresholded and original distributions area: 0.2325\nEquate entropy of thresholded and original distributions training omission: 0.0235\nEquate entropy of thresholded and original distributions test omission: 0.0551\nEquate entropy of thresholded and original distributions binomial probability: 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permutation importance: 11.3268\nbio_15_etrs2_ras permutation importance: 1.6465\nbio_18_etrs2_ras permutation importance: 4.6985\nbio_4_etrs2_ras permutation importance: 7.5938\nbio_8_etrs2_ras permutation importance: 1.8004\ndist2water1km permutation importance: 25.7202\npet_he_yr permutation importance: 5.9374\nsoil_ph permutation importance: 4.1727\nsolar_1km permutation importance: 37.1036\nTraining gain without bio_12_etrs2_ras: 0.8633\nTraining gain without bio_15_etrs2_ras: 0.8734\nTraining gain without bio_18_etrs2_ras: 0.8679\nTraining gain without bio_4_etrs2_ras: 0.8463\nTraining gain without bio_8_etrs2_ras: 0.8761\nTraining gain without dist2water1km: 0.7448\nTraining gain without pet_he_yr: 0.8665\nTraining gain without soil_ph: 0.8534\nTraining gain without solar_1km: 0.7982\nTraining gain with only bio_12_etrs2_ras: 0.25\nTraining gain with only bio_15_etrs2_ras: 0.0653\nTraining gain with only bio_18_etrs2_ras: 0.2028\nTraining gain with only bio_4_etrs2_ras: 0.1288\nTraining gain with only bio_8_etrs2_ras: 0.1852\nTraining gain with only dist2water1km: 0.4387\nTraining gain with only pet_he_yr: 0.1225\nTraining gain with only soil_ph: 0.2414\nTraining gain with only solar_1km: 0.4196\nTest gain without bio_12_etrs2_ras: 0.8848\nTest gain without bio_15_etrs2_ras: 0.9116\nTest gain without bio_18_etrs2_ras: 0.8876\nTest gain without bio_4_etrs2_ras: 0.8892\nTest gain without bio_8_etrs2_ras: 0.914\nTest gain without dist2water1km: 0.8281\nTest gain without pet_he_yr: 0.8798\nTest gain without soil_ph: 0.8666\nTest gain without solar_1km: 0.8736\nTest gain with only bio_12_etrs2_ras: 0.2876\nTest gain with only bio_15_etrs2_ras: 0.0824\nTest gain with only bio_18_etrs2_ras: 0.2579\nTest gain with only bio_4_etrs2_ras: 0.1585\nTest gain with only bio_8_etrs2_ras: 0.216\nTest gain with only dist2water1km: 0.4202\nTest gain with only pet_he_yr: 0.1535\nTest gain with only soil_ph: 0.3495\nTest gain with only solar_1km: 0.4271\nAUC without bio_12_etrs2_ras: 0.8481\nAUC without bio_15_etrs2_ras: 0.8526\nAUC without bio_18_etrs2_ras: 0.8481\nAUC without bio_4_etrs2_ras: 0.8484\nAUC without bio_8_etrs2_ras: 0.8531\nAUC without dist2water1km: 0.8363\nAUC without pet_he_yr: 0.8472\nAUC without soil_ph: 0.8453\nAUC without solar_1km: 0.8467\nAUC with only bio_12_etrs2_ras: 0.7044\nAUC with only bio_15_etrs2_ras: 0.5956\nAUC with only bio_18_etrs2_ras: 0.6875\nAUC with only bio_4_etrs2_ras: 0.6473\nAUC with only bio_8_etrs2_ras: 0.6719\nAUC with only dist2water1km: 0.7473\nAUC with only pet_he_yr: 0.6419\nAUC with only soil_ph: 0.6934\nAUC with only solar_1km: 0.7506\nEntropy: 8.4433\nPrevalence (average of logistic output over background sites): 0.2021\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0405\nFixed cumulative value 1 area: 0.7597\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.51E-13\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1056\nFixed cumulative value 5 area: 0.5452\nFixed cumulative value 5 training omission: 0.0383\nFixed cumulative value 5 test omission: 0.0182\nFixed cumulative value 5 binomial probability: 9.91E-30\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1685\nFixed cumulative value 10 area: 0.4134\nFixed cumulative value 10 training omission: 0.0779\nFixed cumulative value 10 test omission: 0.097\nFixed cumulative value 10 binomial probability: 1.17E-37\nMinimum training presence cumulative threshold: 0.0001\nMinimum training presence logistic threshold: 0.0003\nMinimum training presence area: 0.998\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.84E-01\n10 percentile training presence cumulative threshold: 13.3513\n10 percentile training presence logistic threshold: 0.206\n10 percentile training presence area: 0.3526\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1152\n10 percentile training presence binomial probability: 9.44E-47\nEqual training sensitivity and specificity cumulative threshold: 27.0575\nEqual training sensitivity and specificity logistic threshold: 0.3563\nEqual training sensitivity and specificity area: 0.2008\nEqual training sensitivity and specificity training omission: 0.2008\nEqual training sensitivity and specificity test omission: 0.2545\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 25.7803\nMaximum training sensitivity plus specificity logistic threshold: 0.3404\nMaximum training sensitivity plus specificity area: 0.2108\nMaximum training sensitivity plus specificity training omission: 0.188\nMaximum training 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As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).\nStatistical output of the model:\n#Training samples: 1489\nRegularized training gain: 0.8786\nUnregularized training gain: 0.9883\nIterations: 500\nTraining AUC: 0.8625\n#Test samples: 165\nTest gain: 0.9143\nTest AUC: 0.8529\nAUC Standard Deviation: 0.0119\n#Background points: 11169\nbio_12_etrs2_ras contribution: 11.4437\nbio_15_etrs2_ras contribution: 1.3648\nbio_18_etrs2_ras contribution: 2.8407\nbio_4_etrs2_ras contribution: 4.7345\nbio_8_etrs2_ras contribution: 0.6319\ndist2water1km contribution: 40.9207\npet_he_yr contribution: 1.6611\nsoil_ph contribution: 10.1855\nsolar_1km contribution: 26.2171\nbio_12_etrs2_ras permutation importance: 11.3268\nbio_15_etrs2_ras permutation importance: 1.6465\nbio_18_etrs2_ras permutation importance: 4.6985\nbio_4_etrs2_ras permutation importance: 7.5938\nbio_8_etrs2_ras permutation importance: 1.8004\ndist2water1km permutation importance: 25.7202\npet_he_yr permutation importance: 5.9374\nsoil_ph permutation importance: 4.1727\nsolar_1km permutation importance: 37.1036\nTraining gain without bio_12_etrs2_ras: 0.8633\nTraining gain without bio_15_etrs2_ras: 0.8734\nTraining gain without bio_18_etrs2_ras: 0.8679\nTraining gain without bio_4_etrs2_ras: 0.8463\nTraining gain without bio_8_etrs2_ras: 0.8761\nTraining gain without dist2water1km: 0.7448\nTraining gain without pet_he_yr: 0.8665\nTraining gain without soil_ph: 0.8534\nTraining gain without solar_1km: 0.7982\nTraining gain with only bio_12_etrs2_ras: 0.25\nTraining gain with only bio_15_etrs2_ras: 0.0653\nTraining gain with only bio_18_etrs2_ras: 0.2028\nTraining gain with only bio_4_etrs2_ras: 0.1288\nTraining gain with only bio_8_etrs2_ras: 0.1852\nTraining gain with only dist2water1km: 0.4387\nTraining gain with only pet_he_yr: 0.1225\nTraining gain with only soil_ph: 0.2414\nTraining gain with only solar_1km: 0.4196\nTest gain without bio_12_etrs2_ras: 0.8848\nTest gain without bio_15_etrs2_ras: 0.9116\nTest gain without bio_18_etrs2_ras: 0.8876\nTest gain without bio_4_etrs2_ras: 0.8892\nTest gain without bio_8_etrs2_ras: 0.914\nTest gain without dist2water1km: 0.8281\nTest gain without pet_he_yr: 0.8798\nTest gain without soil_ph: 0.8666\nTest gain without solar_1km: 0.8736\nTest gain with only bio_12_etrs2_ras: 0.2876\nTest gain with only bio_15_etrs2_ras: 0.0824\nTest gain with only bio_18_etrs2_ras: 0.2579\nTest gain with only bio_4_etrs2_ras: 0.1585\nTest gain with only bio_8_etrs2_ras: 0.216\nTest gain with only dist2water1km: 0.4202\nTest gain with only pet_he_yr: 0.1535\nTest gain with only soil_ph: 0.3495\nTest gain with only solar_1km: 0.4271\nAUC without bio_12_etrs2_ras: 0.8481\nAUC without bio_15_etrs2_ras: 0.8526\nAUC without bio_18_etrs2_ras: 0.8481\nAUC without bio_4_etrs2_ras: 0.8484\nAUC without bio_8_etrs2_ras: 0.8531\nAUC without dist2water1km: 0.8363\nAUC without pet_he_yr: 0.8472\nAUC without soil_ph: 0.8453\nAUC without solar_1km: 0.8467\nAUC with only bio_12_etrs2_ras: 0.7044\nAUC with only bio_15_etrs2_ras: 0.5956\nAUC with only bio_18_etrs2_ras: 0.6875\nAUC with only bio_4_etrs2_ras: 0.6473\nAUC with only bio_8_etrs2_ras: 0.6719\nAUC with only dist2water1km: 0.7473\nAUC with only pet_he_yr: 0.6419\nAUC with only soil_ph: 0.6934\nAUC with only solar_1km: 0.7506\nEntropy: 8.4433\nPrevalence (average of logistic output over background sites): 0.2021\nFixed cumulative value 1 cumulative threshold: 1\nFixed cumulative value 1 logistic threshold: 0.0405\nFixed cumulative value 1 area: 0.7597\nFixed cumulative value 1 training omission: 0.0094\nFixed cumulative value 1 test omission: 0\nFixed cumulative value 1 binomial probability: 2.51E-13\nFixed cumulative value 5 cumulative threshold: 5\nFixed cumulative value 5 logistic threshold: 0.1056\nFixed cumulative value 5 area: 0.5452\nFixed cumulative value 5 training omission: 0.0383\nFixed cumulative value 5 test omission: 0.0182\nFixed cumulative value 5 binomial probability: 9.91E-30\nFixed cumulative value 10 cumulative threshold: 10\nFixed cumulative value 10 logistic threshold: 0.1685\nFixed cumulative value 10 area: 0.4134\nFixed cumulative value 10 training omission: 0.0779\nFixed cumulative value 10 test omission: 0.097\nFixed cumulative value 10 binomial probability: 1.17E-37\nMinimum training presence cumulative threshold: 0.0001\nMinimum training presence logistic threshold: 0.0003\nMinimum training presence area: 0.998\nMinimum training presence training omission: 0\nMinimum training presence test omission: 0\nMinimum training presence binomial probability: 2.84E-01\n10 percentile training presence cumulative threshold: 13.3513\n10 percentile training presence logistic threshold: 0.206\n10 percentile training presence area: 0.3526\n10 percentile training presence training omission: 0.0994\n10 percentile training presence test omission: 0.1152\n10 percentile training presence binomial probability: 9.44E-47\nEqual training sensitivity and specificity cumulative threshold: 27.0575\nEqual training sensitivity and specificity logistic threshold: 0.3563\nEqual training sensitivity and specificity area: 0.2008\nEqual training sensitivity and specificity training omission: 0.2008\nEqual training sensitivity and specificity test omission: 0.2545\nEqual training sensitivity and specificity binomial probability: 0.00E+00\nMaximum training sensitivity plus specificity cumulative threshold: 25.7803\nMaximum training sensitivity plus specificity logistic threshold: 0.3404\nMaximum training sensitivity plus specificity area: 0.2108\nMaximum training sensitivity plus specificity training omission: 0.188\nMaximum training sensitivity plus specificity test omission: 0.2424\nMaximum training sensitivity plus specificity binomial probability: 0.00E+00\nEqual test sensitivity and specificity cumulative threshold: 24.1451\nEqual test sensitivity and specificity logistic threshold: 0.3221\nEqual test sensitivity and specificity area: 0.2245\nEqual test sensitivity and specificity training omission: 0.178\nEqual test sensitivity and specificity test omission: 0.2242\nEqual test sensitivity and specificity binomial probability: 6.52E-65\nMaximum test sensitivity plus specificity cumulative threshold: 19.5854\nMaximum test sensitivity plus specificity logistic threshold: 0.273\nMaximum test sensitivity plus specificity area: 0.2696\nMaximum test sensitivity plus specificity training omission: 0.1357\nMaximum test sensitivity plus specificity test omission: 0.1636\nMaximum test sensitivity plus specificity binomial probability: 8.56E-61\nBalance training omission, predicted area and threshold value cumulative threshold: 2.8408\nBalance training omission, predicted area and threshold value logistic threshold: 0.0756\nBalance training omission, predicted area and threshold value area: 0.636\nBalance training omission, predicted area and threshold value training omission: 0.0215\nBalance training omission, predicted area and threshold value test omission: 0.0121\nBalance training omission, predicted area and threshold value binomial probability: 2.91E-21\nEquate entropy of thresholded and original distributions cumulative threshold: 9.8948\nEquate entropy of thresholded and original distributions logistic threshold: 0.1678\nEquate entropy of thresholded and original distributions area: 0.4156\nEquate entropy of thresholded and original distributions training omission: 0.0779\nEquate entropy of thresholded and original distributions test omission: 0.097\nEquate entropy of thresholded and original distributions binomial probability: 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