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The maps illustrate Corine Land Cover 2006 for each country for all 44 classes.
This simple example uses the data of the NUTS-X regions from Belgium (FG-B2). The effective mesh density (seff) is shown as the response variable as a function of two predictor variables: population density (PD, between 64 and 600 people per km2) and gross domestic product per capita (GDPc, between 20 500 and 37 000 euros PPs). The gridded plane shows the predicted values for the effective mesh density for each combination of PD and GDPc. The differences between the observed values of seff (shown as small squares) and the predicted values are shown as perpendicular lines and are called residuals. In this example, the predicted level of fragmentation increases with higher population densities and with higher gross domestic product per capita, and the variation in population density has a higher influence than the variation in GDPc.
Effective mesh density values by NUTS-X region for Fragmentation Geometry FG-B2 in 2009. The NUTS-X regions represented by points above the diagonal line are more fragmented than predicted (e.g., FR107 Val de Marne) and those represented by by points below the diagonal line are less fragmented than predicted (e.g., CH04 Zurich).
Effective mesh density values by NUTS-X region for Fragmentation Geometry FG-B2 in 2009. Fragmentation geometry has been created from input data (TeleAtlas roads/rails, CLC urban classes, mountain areas / mountain ridges based on Nordregio and WorldClim data and rivers/lakes based on Catchment Characterisation and Modelling (CCM) v.2 database and CLC database) and landscape fragmentation metrics (Jaeger 2000) has been calculated.
Map shows the level of fragmentation for FG-B2 in the 581 NUTS-X regions investigated
In this hypothetical example, the trend remains constant. A linear rise in effective mesh density (right) corresponds to a 1/x curve in the graph of the effective mesh size (left). A slower increase in fragmentation results in a flatter curve for effective mesh size, and a more rapid increase produces a steeper curve. It is therefore easier to read trends off the graph of effective mesh density (right).
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In the air quality directive (2008/EC/50), the EU has set two limit values for particulate matter (PM10) for the protection of human health: the PM10 daily mean value may not exceed 50 micrograms per cubic metre (µg/m3) more than 35 times in a year and the PM10 annual mean value may not exceed 40 micrograms per cubic metre (µg/m3). In some areas time extensions have been granted by DG Environment for meeting these limit values. Information about time extensions is provided by DG Environment at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm
Data from water assessments presented in the country fiches, based on 24 reports. The total number of reports included in the assessment per region is indicated in brackets.
Data from water assessments presented in the country fiches, based on 24 reports. The number of reports included in the assessment per region is indicated in brackets.
In all there are 544 reports
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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