Heather R Chamberlain MSc, BSc

Enterprise Fellow

Heather Chamberlain is an Enterprise Fellow in the School of Geography and Environmental Science at the University of Southampton.

Heather has a background in GIS and remote sensing. She received a BSc in Geography and MSc in Applied GIS and Remote Sensing from the University of Southampton. Heather is now part of the WorldPop Project and her work focusses on integrating geospatial datasets for population estimation and high resolution mapping.

Work History

2018 – present: Enterprise Fellow, WorldPop, School of Geography and Environmental Science, University of Southampton

2016 – 2018: GIS Technician, WorldPop, Geography and Environment, University of Southampton

2015 – 2016: GIS Analyst, Flowminder Foundation

Research

Publications

Contact

Research interests

GIS, spatial demography, spatial epidemiology

The WorldPop Project

High resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent approaches.

Research group

Population, Health and Wellbeing (PHeW)

Affiliate research group

WorldPop

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Articles

Boo, G., Darin, E., Leasure, D. R., Dooley, C. A., Chamberlain, H. R., Lázár, A. N., Tschirhart, K., Sinai, C., Hoff, N. A., Fuller, T., Musene, K., Batumbo, A., Rimoin, A. W., & Tatem, A. J. (2022). High-resolution population estimation using household survey data and building footprints. Nature Communications, 13(1), [1330]. https://doi.org/10.1038/s41467-022-29094-x
Jochem, W., Leasure, D., Pannell, O., Chamberlain, H., Jones, P., & Tatem, A. (2020). Classifying settlement types from multi-scale spatial patterns of building footprints. Environment and Planning B, 1-19. https://doi.org/10.1177/2399808320921208
Lloyd, C. T., Chamberlain, H., Kerr, D., Yetman, G., Pistolesi, L., Stevens, F. R., Gaughan, A. E., Nieves, J. J., Hornby, G., MacManus, K., Sinha, P., Bondarenko, M., Sorichetta, A., & Tatem, A. (2019). Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. Big Earth Data, 3(2), 108-139. https://doi.org/10.1080/20964471.2019.1625151
Wilson, R., Erbach-Schoenberg, E. Z., Albert, M., Power, D., Tudge, S., Gonzalez, M., Guthrie, S., Chamberlain, H., Brooks, C., Hughes, C., Pitonakova, L., Buckee, C. O., Lu, X., Wetter, E., Tatem, A., & Bengtsson, L. (2016). Rapid and near real-time assessments of population displacement using mobile phone data following disasters: The 2015 Nepal Earthquake. PLoS Currents: Outbreaks. https://doi.org/10.1371/currents.dis.d073fbece328e4c39087bc086d694b5c

Review

Wardrop, N. A., Jochem, W. C., Bird, T. J., Chamberlain, H. R., Clarke, D., Kerr, D., Bengtsson, L., Juran, S., Seaman, V., & Tatem, A. J. (2018). Spatially disaggregated population estimates in the absence of national population and housing census data. Proceedings of the National Academy of Sciences of the United States of America, 115(14), 3529-3537. https://doi.org/10.1073/pnas.1715305115

Working Paper

Bosco, C., Tejedor Garavito, N., de Rigo, D., Tatem, A., Pezzulo, C., Wood, R., Chamberlain, H., & Bird, T. J. (2018). Geostatistical tools to map the interaction between development aid and indices of need. (AidData Working Paper; No. 49). AidData. http://docs.aiddata.org/ad4/pdfs/wps49_Geostatistical_Tools_to_Map_the_Interaction_between_Development_Aid_and_Indices_of_Need--optimized.pdf

Heather R Chamberlain
Building 44 University of Southampton University Road Southampton SO17 1BJ

Room Number : 39

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