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Spatial pattern of fragmentation pressures in rural areas in EEA member countries

Figure Created 17 Jan 2018 Published 26 Apr 2018 Last modified 26 Apr 2018
1 min read
Fragmentation pressure from urban and transport infrastructure expansion in rural areas (see map) in the EU Member States. The chart shows the area distribution of fragmentation pressure classes in proportion of each country's rural area.

European data

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information.png Rights:
EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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European Environment Agency (EEA)
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European Topic Centre on Urban, Land and Soil Systems (ETC-ULS)
information.png Figure type:
Map

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Relation

This map relates to the "Landscape fragmentation pressure from urban and transport infrastructure expansion (LSI004)" indicator.

Related content

Based on data

Data Landscape fragmentation indicator effective mesh density (seff) - major and medium anthrophogenic fragmentation (FGA2_S_2016) The raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion. The computation is based on the method of Effective Mesh Density (seff). The Effective Mesh Density (seff) is a measure of landscape fragmentation, i.e. the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure. The Effective Mesh Density gives the effective number of meshes (or landscape patches) per 1000 km2, in other words, the density of the meshes. The more FGs fragment the landscape, the higher the effective mesh density. The seff values are reported within the 1km sq regular LEAC grid.
External Data Spec Degree of Urbanisation (DEGURBA) The Degree of urbanisation (DEGURBA) is a classification that indicates the character of an area. The latest update of the classification is based on 2011 population grid and the 2014  Local Administrative Units  (LAU) boundaries. The next major update will be based on 2020 Census results. Based on the share of local population living in urban clusters and in urban centres, it classifies Local Administrative Units level 2 (LAU2 or communes) into three types of area: Cities (densely populated areas) Towns and suburbs (intermediate density areas) Rural areas (thinly populated areas) Statistics by degree of urbanisation provide an analytical and descriptive lens on urban and rural areas. Data by degree of urbanisation is presently available for the following statistical domains: labour market, education, living conditions, welfare and tourism.
External Data Spec NUTS 2013 (EUROSTAT) plus Balkan countries

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For references, please go to https://www.eea.europa.eu/data-and-maps/figures/spatial-pattern-of-fragmentation-pressures or scan the QR code.

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