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.
A virtual species set for robust and reproducible species distribution modelling tests / Garzon-Lopez, Carol X.; Bastin, Lucy; Foody, Giles M.; Rocchini, Duccio. - In: DATA IN BRIEF. - ISSN 2352-3409. - 7:(2016), pp. 476-479. [10.1016/j.dib.2016.02.058]
A virtual species set for robust and reproducible species distribution modelling tests
Duccio Rocchini
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.| File | Dimensione | Formato | |
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