Project overview To develop a geospatial back end for integration within the Estimating and Mapping Disaggregated Indicators (EMDI) package in the R statistical computing environment Staff Lead researchers Professor Nikos Tzavidis PhD Professor of Statistical Methodology Research interests Small Area Estimation and official statistics Outlier robust inference; Quantile and M-quantile models Geospatial data; Poverty mapping; Statistical inference under data aggregation and displacement Connect with Nikos Email: N.TZAVIDIS@soton.ac.uk Collaborating research institutes, centres and groups WorldPop We develop and implement open, robust and peer-reviewed geospatial methods. These are used for mapping population distributions, demographics and dynamics, with a principle focus on low and middle income countries. Southampton Geospatial The Southampton Geospatial team has the tools and expertise to collect, combine and interpret datasets about locations. Research outputs