With the average population density in Europe in 2006 estimated at 114 inhabitants per km² (Eurostat, 2011), the population density dataset was classified into densely populated areas (>100 inhabitants per km²) and into sparsely populated areas (<100 inhabitants per km²). The five fragmentation pressure classes were classified into 3 classes: 1) Very low and low number of meshes, 2) Medium number of meshes and 3) high and very high number of meshes. The three fragmentation classes and two resident population density classes were combined resulting in six combinations explained in the legend. The map shows data from the EU-28 countries, EEA Member States and Cooperating countries (EEA-39). No data available for Turkey.

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

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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.

Data references

GHS resident population grid

NUTS 2013 (EUROSTAT) plus Balkan countries

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For references, please go to https://www.eea.europa.eu/data-and-maps/figures/fragmentation-pressure-and-population-density or scan the QR code.

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Fragmentation pressure and population density in EEA member countries

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