bRacatus : A method to estimate the accuracy and biogeographical status of georeferenced biological data-Reference-Cited by-同舟云学术

bRacatus : A method to estimate the accuracy and biogeographical status of georeferenced biological data

Published:2021-05-31 Issue:9 Volume:12 Page:1609-1619
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Arlé Eduardo¹²^ORCID,Zizka Alexander¹³^ORCID,Keil Petr¹⁴⁵^ORCID,Winter Marten¹^ORCID,Essl Franz⁶^ORCID,Knight Tiffany¹⁷⁸^ORCID,Weigelt Patrick⁹^ORCID,Jiménez‐Muñoz Marina¹^ORCID,Meyer Carsten¹²¹⁰^ORCID

Affiliation:

1. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

2. Faculty of Biosciences, Pharmacy and Psychology University of Leipzig Leipzig Germany

3. Naturalis Biodiversity Center Leiden The Netherlands

4. Institute of Computer Science Martin Luther University Halle‐Wittenberg Halle (Saale) Germany

5. Faculty of Environmental Sciences Czech University of Life Sciences Prague Praha Czech Republic

6. Division of Conservation, Vegetation and Landscape Ecology Department of Botany and Biodiversity Research University Vienna Vienna Austria

7. Institute of Biology Martin Luther University Halle‐Wittenberg Halle (Saale) Germany

8. Department of Community Ecology Helmholtz Centre for Environmental Research ‐ UFZ Halle (Saale) Germany

9. Biodiversity, Macroecology & Biogeography University of Goettingen Göttingen Germany

10. Institute of Geosciences and Geography Martin Luther University Halle‐Wittenberg Halle Germany

Funder

Deutsche Forschungsgemeinschaft

Volkswagen Foundation

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13629

Reference46 articles.

1. Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions

2. Data from: EduardoArle/bRacatus_code: bRacatus code (Version v.1.0.0);Arlé E.;Zenodo,2021

3. sPlot – A new tool for global vegetation analyses

4. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

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