Geographically Weighted Regression
The Analysis of Spatially Varying Relationships
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Geographically Weighted Regression by A. Stewart Fotheringham
Book DescriptionGeographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).
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Book DetailsISBN: 9780471496168
(256mm x 186mm x 22mm)
Imprint: John Wiley & Sons Ltd
Publisher: John Wiley and Sons Ltd
Publish Date: 29-Aug-2002
Country of Publication: United Kingdom
Books By Author A. Stewart Fotheringham
Sage Handbook of Spatial Analysis, Hardback (December 2008)
This Handbook is designed to highlight current issues and techniques in spatial data analysis as well as highlighting future directions for research.
Handbook of Geographic Information Science, Paperback (August 2007)
This Handbook is an essential reference and a guide to the rapidly expanding field of Geographic Information Science.
Quantitative Geography, Paperback (January 2000)» View all books by A. Stewart Fotheringham
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the quantitative methodologies. It discusses issues such as: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; and point pattern analysis.
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