Supplementary Materials: When is variable importance estimation in species distribution modelling affected by spatial correlation?

DOI:10.4121/16752223.v1
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DOI: 10.4121/16752223

Datacite citation style

Harisena, Nivedita Varma; Groen, Thomas; G. Toxopeus, Albertus; Naimi, Babak (2021): Supplementary Materials: When is variable importance estimation in species distribution modelling affected by spatial correlation?. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/16752223.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Code and Data Metadata for Variable importance graphs using simulated variables

This data entry contains the code and data generated for creating the variable importance graphs as published in the article:

Harisena, N. V., Groen, T. A., Toxopeus, A. G., & Naimi, B. (2021). When is variable importance estimation in species distribution modelling affected by spatial correlation? Ecography, 44(5), 778–788. 10.1111/ecog.05534

Contents

1. A Readme.docx file

2. Main_script.R file; Includes the code to be run and the instructions for running the same

3. Functions.R file; Includes all the functions to be loaded in R before running the Main_script.R file

4. Generated_Data; folder with all .Rdata files for each code step as detailed in Main_script.R along with the output .csv and .jpg files that can be matched with the output images in the publication.

A CODECHECK certificate is available confirming that the computations underlying this article could be independently executed: https://doi.org/10.5281/zenodo.5574909

History

  • 2021-11-26 first online, published, posted

Publisher

4TU.ResearchData

Format

.docx; .R; .Rdata; .zip

Funding

  • 4TU.ResearchData FAIR data fund

Organizations

Twente University, Faculty of Geo-Information Science and Earth Observation (ITC)
ETH Zürich - IRL
Planning of Landscape and Urban Systems, PLUS

DATA

Files (5)