popRF v1.0.1: Random Forest-informed Population Disaggregation R package

This package gives users the ability to produce gridded population density estimates using a Random Forest algorithm as described in Stevens, et al. (2015)

Bondarenko M., Nieves J.J., Forrest R.S., Andrea E.G., Jochem C., Kerr D., and Sorichetta A. (2021): popRF: Random Forest-informed Population Disaggregation R package, Comprehensive R Archive Network (CRAN), url:https://cran.r-project.org/package=popRF, DOI:10.5258/SOTON/WP00715

Changes

• Replaced gdalUtil package (now deprecated and pulled from CRAN) dependencies with terra package dependencies. WARNING: Due to differences in the interpolation procedures in terra, pixel level matching of values, i.e. replicability, between the 1.0.0 version and the 1.0.1 version is unlikely.

• Fixed numerous spelling, line length, and spacing conventions in the code

Known Issues and TODO

• TODO: download_file() function should be considered non-functional due to WorldPop moving away from their FTP to a REST API; will replace in future
• Vignette needs to be updated and error (formatting) corrected, particularly the data download code in the appendix, however, the example code still works if data preexists and is still useful for users extrapolating on how to incorporate their own data.

popRF v1.0.0: Random Forest-informed Population Disaggregation R package

This package gives users the ability to produce gridded population density estimates using a Random Forest algorithm as described in Stevens, et al. (2015)

Bondarenko M., Nieves J.J., Forrest R.S., Andrea E.G., Jochem C., Kerr D., and Sorichetta A. (2021): popRF: Random Forest-informed Population Disaggregation R package, Comprehensive R Archive Network (CRAN), url:https://cran.r-project.org/package=popRF, DOI:10.5258/SOTON/WP00715

popRF: Random Forest-informed Population Disaggregation

Note: This is the initial pre-release of the popRF R package intended to give public access to early development versions of the package. We cannot gaurantee future pre-releases will be backwards compatible with this initial pre-release.