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Research project

Integrating geospatial covariate capture and statistical processing in R to estimate extreme poverty

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: C.T.Lloyd@soton.ac.uk

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

Research outputs