IntPopGrids is an R package that provides tools for translating floating-point population grids into integer values. This package is designed for users who need a more communicatable and realistic population data in a grid format for spatial analysis, demographic studies, and related applications.

This repository contains the R scripts and input datasets used for the production of small area population estimates for the DRC using Tanganyika Province as an example. The key modelling framework therein addresses issues of input enumeration data biases through a model-based scale factor appraoch.

R codes for INLA-SPDE bottom-up population modelling (Cameroon Application)

g2Covariates is an R package that provides easy access to various WorldPop geospatial covariates

This repository provides the R scripts for the 'Small area population estimation from health intervention data ...' paper. The scripts include the simulation study and application studies.

An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)

The QGIS PyPopRF plugin provides tools for high-resolution population prediction and dasymetric mapping. Using machine learning techniques, it processes geospatial data to generate accurate population distribution models. It is ideal for researchers and planners working with population and spatial data.

Python package for top-down population disaggregation using Random Forest

This repository contains the R scripts and the key input datasets use for the model development and implementation.