About
Dr. Christopher T Lloyd is a Research Fellow in GIS, working within the WorldPop Programme. He conducts high impact research upstream of the WorldPop team’s core development of human population models and datasets. Outputs are used by governments and other organisations in low and middle income countries to inform policy and resolve global development problems.
Chris's work focuses on leading production of geospatial datasets using open source methods, with a particular emphasis on the classification of building use via machine learning. These datasets are in essence digital maps that offer a range of geographical information (i.e. buildings, lights at night, accessibility, landcover, climatic, etc.) and act as essential inputs to population modelling. Building classification datasets additionally directly inform development policy in the context of urban planning, resource allocation, and service delivery. His role involves advising re. the production and analysis of geospatial data (with project partners as well as within the WorldPop team) as required in multiple research and implementation projects. Chris also produces written training materials targeted at external GIS professionals, and co-supervises PhD research.