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 |
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Divisions: | ?? 50811700Jl ?? College of Engineering & Physical Sciences > Sustainable environment research group College of Engineering & Physical 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 |
Publication ISSN: | 2352-3409 |
Last Modified: | 30 Sep 2024 10:49 |
Date Deposited: | 14 Mar 2016 08:55 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2016-06 |
Published Online Date: | 2016-03-02 |
Accepted Date: | 2016-02-20 |
Submitted Date: | 2015-12-10 |
Authors: |
Garzon-Lopez, Carol
Bastin, Lucy ( 0000-0003-1321-0800) Foody, Giles Rocchini, Duccio |
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License: Creative Commons Attribution
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