Synopses & Reviews
GIS Tutorial 2: Spatial Analysis Workbook, provides hands-on exercises to help GIS users at the intermediate level build problem-solving and analysis skills. A companion to the concepts in The Esri® Guide to GIS Analysis book series, GIS Tutorial 2 offers experience with various spatial analysis methods, including location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; and cluster identification. This edition includes access to a 180-day trial of ArcGIS® 10.1 for Desktop Advanced software and a DVD with data for working through the exercises. Additional resources are available for instructors.
GIS Tutorial 2: Spatial Analysis Workbook, provides hands-on exercises to help GIS users at the intermediate level build problem-solving and analysis skills.
About the Author
David W. Allen is the GIS manager for the City of Euless, Texas. He has taught at Tarrant County College since 1999, where he helped found one of the first GIS degree programs in Texas and establish a state standard for GIS degree programs. He is the author of Getting to Know ArcGIS® ModelBuilder™ (Esri Press, 2011) and the co-author of GIS Tutorial 3: Advanced Workbook (Esri Press, 2010).
Table of Contents
Chapter 1 Mapping where things are; Working with categories; Controlling which values are displayed; Limiting values to display
Chapter 2 Mapping the most and least; Mapping quantities; Choosing classes; Creating a map series; Working with charts
Chapter 3 Mapping density; Density analysis; Dot density maps; Density surface
Chapter 4 Finding what’s inside; Overlay analysis; Finding what’s partially inside
Chapter 5 Finding What’s Nearby; Selecting what’s nearby; Creating buffer features; Clipping features; Buffering values; Multiple near distances; Quantifying nearness; Distance surfaces; Calculating cost along a network; Calculating nearness along a network
Chapter 6 Mapping change; Mapping change in location; Change in location and magnitude; Percent change in value
Chapter 7 Measuring geographic distribution; Calculating centers; Weighted centers; Standard distance; Standard deviational ellipse; Linear directional mean
Chapter 8 Analyzing patterns; Average nearest neighbor; Clustering of values; Multi-distance clustering; Spatial autocorrelation
Chapter 9 Identifying clusters; Cluster and outlier analysis; Hot spot analysis
Appendix A Independent projects
Appendix B Data source credits
Appendix C Data license agreement
Appendix D Installing data and software