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Wiley Geographically Weighted Regression - Wiley Spatial Analysis

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Description

Geographically Weighted Regression (GWR) is a local modelling technique that enables you to analyse spatial relationships with precision and map local rather than global patterns. This comprehensive book is the first and only dedicated resource on GWR, covering foundational concepts through advanced applications in spatial analysis. The guide includes step-by-step examples using real datasets that demonstrate how to apply GWR to practical problems such as determining house price factors, measuring educational attainment levels, and evaluating school performance statistics. Whether you are a researcher, analyst, or student working with spatial data, this Wiley publication provides the tools and knowledge you need to understand how relationships vary across geographic locations and extract meaningful insights from geographically complex datasets.

Key Features

Covers GWR as a local modelling technique for measuring and mapping spatially varying relationships instead of global models.

Includes step-by-step examples using real datasets on house prices, educational attainment, and school performance statistics.

Provides foundational concepts and basic principles of Geographically Weighted Regression for spatial analysis applications.

Published by Wiley with comprehensive coverage of this specialised technique in spatial analysis and geographic research.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
29 August 2002
Listed Since
15 December 2006

Barcode

No barcode data available

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