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External Data Spec

Attractive places

External Data Spec Published 06 Jun 2017
Dataset developed by UAB. Not published.
information.png Provider:
Universitat Autònoma de Barcelona (UAB)
information.png Dataset URL:
https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/8.-action-plan-2017/1.8.3.3-supporting-consolidation-touerm-tourism-and-environment-reporting/data-packages-touerm-indicators/nr-photographs-sq-km
information.png Dataset path:

Un-published and password protected data.

Related content

Produced figures

Figure
Draft
Number of photographs per km2 The map shows the number of pictures taken within each 1x1 km grid and could be considered a proxy of attractiveness.
Figure
Draft
Attractiveness of regions by percentage of area covered by hot spots In order the better capture the attractiveness, an indicator on hot spots have been applied. Hot spots are areas with significant higher concentration of pictures compared with the rest of the region and have also a significant spatial aggregation. It should be noted that the hot spot has a spatial extent, i.e. there is a high probability that people move inside the hot spot (in other words the same person will take pictures from different places inside the the hot spot). This also makes a difference with areas outside hot spots, there can still be a relatively high number of points where pictures are taken, but these points are not spatially clustered. Two type of hot spots have been identified: hot spots in rural areas and hot spots in urban areas.
Figure
Draft
Attractiveness of urban and rural places indicated by clusters of photographs In order the better capture the attractiveness, an indicator on hot spots have been applied. Hot spots are areas with significant higher concentration of pictures compared with the rest of the region and have also a significant spatial aggregation. It should be noted that the hot spot has a spatial extent, i.e. there is a high probability that people move inside the hot spot (in other words the same person will take pictures from different places inside the the hot spot). This also makes a difference with areas outside hot spots, there can still be a relatively high number of points where pictures are taken, but these points are not spatially clustered. Two type of hot spots have been identified: hot spots in rural areas and hot spots in urban areas.

See also

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/attractive-places or scan the QR code.

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