popRF v1.0.0
popRF v1.0.0: Random Forest-informed Population Disaggregation R package
High resolution, recent data on human population distributions are important for measuring impacts of population growth, monitoring human-environment interactions and for planning and policy development. Many methods are used to disaggregate census data and predict population densities for finer scale, gridded population data sets. popRF is a population modelling R package utilizing Random Forests to inform a dasymetric redistribution of census-based population count data. A description of using Random Forests machine learning method in popRF is described in Stevens et al.
Suggested citation
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
