The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for specialized statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The SAGE Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of spatial data analysis.
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Professor A. Stewart Fotheringham
Science Foundation Ireland Research Professor and Director, National Centre for Geocomputation, John Hume Building, National University of Ireland at Maynooth, Maynooth, Co. Kildare, Ireland.
Professor Fotheringham′s research interests include: the integration of spatial analysis and GIS; spatial statistics; exploratory spatial data analysis; and spatial modelling. He has co-authored software on GWR that has been distributed to a wide variety of agencies and individuals throughout the world. He is an editor of Transactions in GIS, a co-editor of several books and a co-author of several others, including Quantitative Geography: Perspectives on Spatial Data Analysis (SAGE, 2000) and Geographically Weighted Regression: An Analysis of Spatially Varying Relationships (Wiley, 2002). He has published over 100 articles in refereed journals.
Professor Peter A. Rogerson
Department of Geography and National Center for Geographic Information and Analysis, State University of New York.
Professor Rogerson′s research interests are in the areas of spatial statistics, spatial epidemiology, and demography. His most recent work has focused upon developing methods for the quick detection of emerging geographic patterns, and the application of these methods to finding clusters of crime and disease. He is the author of Statistical Methods for Geography (SAGE 2000), and his work has been published in refereed journals from a wide variety of disciplines, including statistics, planning, biology, psychology, astronomy, and epidemiology.
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