A virtual species set for robust and reproducible species distribution modelling tests

Garzon-Lopez, Carol, Bastin, Lucy, Foody, Giles and Rocchini, Duccio (2016). A virtual species set for robust and reproducible species distribution modelling tests. Data in Brief, 7 , pp. 476-479.

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.

Publication DOI: https://doi.org/10.1016/j.dib.2016.02.058
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences > Sustainable environment research group
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: © 2016 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Uncontrolled Keywords: species distribution models,virtual species,habitat suitability,General,Education
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2016-06
Authors: Garzon-Lopez, Carol
Bastin, Lucy ( 0000-0003-1321-0800)
Foody, Giles
Rocchini, Duccio

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