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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 researcher

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

Collaborating research institutes, centres and groups

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