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Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS
ISBN: 978-0-471-46899-8
October 2005
464 pages
It's been four years since the publication of the groundbreaking Statistical Analysis with ArcView GIS®, and ArcView continues to be one of the most popular desktop GIS among geographers and other GIS users because of its capabilities for spatial-quantitative synthesis. Now, David Wong and Jay Lee update their comprehensive handbook with Statistical Analysis of Geographic Information with ArcView GIS® and ArcGIS®. This revised and expanded guide features classic statistical methods supported by numerous new examples and worked problems.
Employing points, lines, and polygons to model real-world geographic forms, this easy-to-use resource provides geographers, researchers, and practitioners a valuable bridge between theory and the necessary software to apply it. It contains sections on point distribution, point pattern analysis, linear features, network analysis, and spatial autocorrelation analysis. This new edition:
* Comes with ArcView Avenue scripts and data sets so students can implement the examples in the book to help them further understand the concepts being taught
* Book and software are able to stand-alone as self-directed lab exercises
* Scripts are compatible with user-created data sets so they have a useful life after the user is done with the exercises in the book
* Completely updated with new examples and exercises, and features a new chapter on polygon pattern analyzers
* Expanded coverage includes new chapters on classic statistical methods
* CD includes the scripts that accompany the book as well as new instructor support material such as PowerPoint slides and structured labs built around the exercises in the book.