Stewart Fotheringham is Regents’ Professor of Computational Spatial Science and Director of the Spatial Analysis Research Center in the School of Geographical Sciences and Urban Planning at Arizona State University. Dr. Fotheringham is a quantitative geographer recognized for his work in local statistical modeling, geographic information science and the mathematical modeling of spatial interaction resulting from a spatial choice. He is particularly known for his work on modeling spatial variations in processes and for developing multiscale geographically weighted regression. Dr. Fotheringham was born in Saltburn-on-Sea, Yorkshire, England. He graduated with a BSc from Aberdeen University in Scotland, an MA and PhD from McMaster University in Canada and has subsequently worked at Indiana University, the University of Florida, the State University of New York at Buffalo, Newcastle University in England, Maynooth University in Ireland, and St Andrews University in Scotland. He has been director of several national labs promoting geographic information science.

Research Interests

A. Stewart Fotheringham's research interests are generally in the area of Geographic Information Science (GISc) and more specifically in the analysis of spatial data. Spatial data contain locational information as well as attribute information and spatial data analysis utilises both types of information to better understand the processes that generated those data. His research has been particularly focussed on spatial heterogeneity - the variation of data-generating processes over space - and his development of Geographically Weighted Regression has been notable in this respect. He is also interested in the development and application of spatial interaction models - mathematical models to understand and forecast flows of people, goods and information - and has developed new model forms based on principles of spatial choice theory.

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Primary Section

Section 64: Human Environmental Sciences

Secondary Section

Section 34: Computer and Information Sciences