Local Models for Spatial Analysis

Christopher D. Lloyd

© 2010 - CRC Press
Published October 13, 2010
Reference - 352 Pages - 100 B/W Illustrations
ISBN 9781439829196 - CAT# K11433

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Features

  • Introduces the range of local models for spatial analysis and offers links to specific software environments
  • Discusses ways of adapting to local variation and local models for analyzing spatial variation in single variables on grids
  • Examines how local models can be used to explore spatial variation in multivariate relations between variables
  • Outlines some methods for the prediction of the values of properties at unsampled locations
  • Illustrates geostatistical methods for analyzing spatial structure and for spatial prediction
  • Features extensive web resources including additional material, data and links to other relevant sites

Summary

Written in recognition of developments in spatial data analysis that focused on differences between places, the first edition of Local Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest in this area, the second edition describes a wide range of methods which account for local variations in geographical properties.

What’s new in the Second Edition:

  • Additional material on geographically-weighted statistics and local regression approaches
  • A better overview of local models with reference to recent critical reviews about the subject area
  • Expanded coverage of individual methods and connections between them
  • Chapters have been restructured to clarify the distinction between global and local methods
  • A new section in each chapter references key studies or other accounts that support the book
  • Selected resources provided online to support learning

An introduction to the methods and their underlying concepts, the book uses worked examples and case studies to demonstrate how the algorithms work their practical utility and range of application. It provides an overview of a range of different approaches that have been developed and employed within Geographical Information Science (GIScience). Starting with first principles, the author introduces users of GISystems to the principles and application of some widely used local models for the analysis of spatial data, including methods being developed and employed in geography and cognate disciplines. He discusses the relevant software packages that can aid their implementation and provides a summary list in Appendix A.

Presenting examples from a variety of disciplines, the book demonstrates the importance of local models for all who make use of spatial data. Taking a problem driven approach, it provides extensive guidance on the selection and application of local models.

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