Data set to Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem

<p>This data set is part of the article Wraase et al. (2022): Remote sensing -supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem. Remote sensing in Ecology and Conservation. (https://doi.org/10.1002/RSE2.303)</p> <p>The repository contains a Readme file (&quot;readme.txt&quot;) and two additional folders labeled: &ldquo;input data&rdquo; and &ldquo;script&rdquo;.<br> <br> The first folder contains 13 data files further divided into three subfolders &ldquo;cca_analysis&rdquo;, &ldquo;main_modelling_prc_texture_idx&rdquo; and &ldquo;vectors&rdquo;. Data formats are .csv format for all tables, .rds files for model objects from R and .shp format for all vector data.</p> <p>The second folder contains all 31 R-scripts necessary to do the analysis, as described in the article. Additionally, the folder is further categorized into five subfolders equivalent to the main analysis operations: &ldquo;cca_analysis&rdquo;, &ldquo;landsat_temp_modelling&rdquo;, &ldquo;main_modelling_prc&rdquo;, &ldquo;maxent&rdquo; and &ldquo;texture_idx&rdquo;.</p>