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.