cff-version: 1.2.0
abstract: "<p><b><u>Code and Data
Metadata for Variable importance graphs using simulated variables</u></b></p>

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

<p><i>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</i></p>

<p><u>Contents</u></p>

<p>1. A Readme.docx
file</p>

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

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

<p>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.</p><p>A CODECHECK certificate is available confirming that the computations underlying this article could be independently executed: https://doi.org/10.5281/zenodo.5574909<br><br></p>"
authors:
  - family-names: Harisena
    given-names: Nivedita Varma
    orcid: "https://orcid.org/0000-0002-0135-0841"
  - family-names: Groen
    given-names: Thomas
  - family-names: G. Toxopeus
    given-names: Albertus
  - family-names: Naimi
    given-names: Babak
    orcid: "https://orcid.org/0000-0001-5431-2729"
title: "Supplementary Materials: When is variable importance estimation in species distribution modelling affected by spatial correlation?"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/16752223.v1
license: CC0
date-released: 2021-11-26