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 Dr Christopher Lloyd MSci, MSc, PhD, FGS Senior Research Fellow Research interests GIS and Remote Sensing Open Source Geospatial Tools Building Classification using Machine Learning Connect with Christopher Email: [email protected] 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: [email protected] Dr Jessica Steele Senior Enterprise Fellow Connect with Jessica Email: [email protected] 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