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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