Local Models for Spatial Analysis, Second Edition

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Local Models for Spatial Analysis, Second Edition
By Christopher D. Lloyd




&#8226ublisher:  CRC Press
•Number Of Pages:  352
&#8226ublication Date:  2010-09-24
•ISBN-10 / ASIN:  1439829195
•ISBN-13 / EAN:  9781439829196


Product Description:



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 fuller overview of local models with reference to recent critical reviews about the subject area Expanded coverage of individual methods and connections between them Restructured chapters that clarify the distinction between global and local methods New material in each chapter that references key studies or other accounts that support the book Access to online resources that 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 applications. Starting with first principles, the author introduces users of Geographical Information Systems 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. The book discusses the relevant software packages that can aid in 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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