Peter Atkinson


My research can be characterized as "spatial data science" and it arises out of the application of quantitative methods to geographical data. Specifically, it involves the application of space-time statistics and geostatistics, machine learning and spatially explicit numerical modeling, to Earth observation (EO) and other environmental and social data, to answer a wide range of science and social science questions. My research is, thus, highly inter-disciplinary and spans a wide range of statistical and numerical techniques and a wide range of science and social science domains.

I have a major interest in the spatial epidemiology of vector-borne disease transmission systems, such as malaria and Trypanosomiasis, based on:

  • Spatial and spatio-temporal regression models to predict risk (e.g., incidence, prevalence) in space-time so that interventions can be targeted.
  • Agent-based models of the transmission dynamics such as to connect management changes in the landscape with disease and poverty outcomes.

I am keen to supervise exceptional PhD students with a strong mathematical, statistical or computer science background, who have an interest in these research topics. If you are interested in applying for a PhD in any of these topics please contact me at