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Geographically weighted regression : the analysis of spatially varying relationships / A. Stewart Fotheringham ; Chris Brunsdon ; Martin Charlton

Por: FOTHERINGHAM, A. Stewart.
Colaborador(es): BRUNSDON, Chris | CHARLTON, Martin.
Tipo de material: TextoTextoEditor: Chichester, West Sussex ; Hoboken, NJ : John Wiley & Sons, 2002Descripción: xii, 269 p. : gràf., mapes, quadres ; 24 cm.ISBN: 0471496162.Tema(s): Sistemes d'informació geogràfica | Anàlisi espacial (Estadística) | Geografia -- Mètodes estadístics | Anàlisi de regressióGénero/Forma: ANÁLISIS ESPACIAL | ANÁLISIS REGIONAL | MÉTODOS ESTADÍSTICOS | GEOGRAFÍA HUMANA | MODELOS MATEMÁTICOS
Contenidos:
Geographically Weighted Regression Contents Acknowledgements 1 Local Statistics and Local Models for Spatial Data. -- 2 Geographically Weighted Regression: The Basics. -- 3 Extensions to the Basic GWR Model. -- 4 Statistical Inference and Geographically Weighted Regression. -- 5 GWR and Spatial Autocorrelation. -- 6 Scale Issues and Geographically Weighted Regression. -- 7 Geographically Weighted Local Statistics. -- 8 Extensions of geographical weighting 9. -- Software for geographically weighted regression 10 Epilogque. -- Bibliography. -- Index
Resumen: eographically Weighted Regression: The Analysis of Spatially Varying Relationships is based on the premise that relationships between variables measured at different locations might not be constant over space. The prevailing assumption is that such relationships are constant, an assumption that would appear to be the result of convenience rather than of any serious examination of the issues. If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses.
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Geographically Weighted Regression Contents Acknowledgements 1 Local Statistics and Local Models for Spatial Data. -- 2 Geographically Weighted Regression: The Basics. -- 3 Extensions to the Basic GWR Model. -- 4 Statistical Inference and Geographically Weighted Regression. -- 5 GWR and Spatial Autocorrelation. -- 6 Scale Issues and Geographically Weighted Regression. -- 7 Geographically Weighted Local Statistics. -- 8 Extensions of geographical weighting 9. -- Software for geographically weighted regression 10 Epilogque. -- Bibliography. -- Index

eographically Weighted Regression: The Analysis of Spatially Varying Relationships is based on the premise that relationships between variables measured at different locations might not be constant over space. The prevailing assumption is that such relationships are constant, an assumption that would appear to be the result of convenience rather than of any serious examination of the issues. If relationships do vary significantly over space, then serious questions are raised about the reliability of traditional, global-level analyses.

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