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An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.", "AntialiasingMode": "Fast", "Title": "Normalized effective mesh size (meff), 2012", "Author": "", "TextAntialiasingMode": "Force", "Subject": "Normalised effective mesh size (meff) representing landscape fragmentation across EEA38 plus the United Kingdom in 2012 at 1 km resolution, calculated using the cutting-out procedure. 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This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 201<\/SPAN>2<\/SPAN> using normalised effective mesh size (meff) at 1 km resolution.<\/SPAN><\/P>

The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the <\/SPAN>commercial <\/SPAN>TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.<\/SPAN><\/P>

The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "copyrightText": "European Environment Agency (EEA) and European Topic Centre on Data Integration and Digitalisation (ETC DI). Produced by GISAT with financial support from the European Commission\u2019s Directorate-General for Regional and Urban Policy (DG REGIO).", "supportsTimeRelation": true }