Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
Garzon Lopez, C.X.; Bastin, L.; Foody, G.M.; Rocchini, D. (2016). A virtual species set for robust and reproducible species distribution modelling tests. DATA IN BRIEF, 7: 476-479. doi: 10.1016/j.dib.2016.02.058 handle: http://hdl.handle.net/10449/29559
A virtual species set for robust and reproducible species distribution modelling tests
Rocchini, Duccio
2016-01-01
Abstract
Predicting species potential and future distribution has become a relevant tool in biodiversity monitoring and conservation. In this data article we present the suitability map of a virtual species generated based on two bioclimatic variables, and a dataset containing more than 700,000 random observations at the extent of Europe. The dataset includes spatial attributes such as: distance to roads, protected areas, country codes, and the habitat suitability of two spatially clustered species (grassland and forest species) and a wide-spread species.
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