Change of habitat suitability coverage of European Forest Categories
The potential distribution of forest tree species is modeled using machine learning CART (classification and regression tree analysis) and Random Forest (RF) algorithms. Maps corresponding to RFregression and RF classification algorithms are available for download with further description on this website. Presence / absence records of the most dominant European tree species are used to process a RF classification in order to predict the presence/ absence of each species and a RF regression to predict continuous values from absence to presence of that species.
For references, please go to www.eea.europa.eu/soer or scan the QR code.
This briefing is part of the EEA's report The European Environment - State and Outlook 2015. The EEA is an official agency of the EU, tasked with providing information on Europe’s environment.
PDF generated on 29 Jan 2015, 11:07 AM