To develop a geospatial back end for integration within the Estimating and Mapping Disaggregated Indicators (EMDI) package in the R statistical computing environment
We develop and implement open, robust and peer-reviewed geospatial methods for mapping population distributions, demographics and dynamics, with a principle focus on low and middle income countries.