The fully revised and updated book on statistical and spatial analyses in a GIS environment

It's been four years since the publication of the groundbreaking Statistical Analysis with ArcView GIS(R), 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(R) and ArcGIS(R). 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: Covers a full range of statistical methods, including classical techniques, probability, and statistical testingFeatures dozens of new exercises for use with tools and procedures packaged as ArcView extensions and data sets Provides a CD-ROM offering immediate access to ready-to-use ArcView extensions for use with the book and with real-world data sets Includes updated discussions on implementing spatial analysis in ArcGIS 9.X