Spatial analysis workbook

著者

    • Allen, David W.

書誌事項

Spatial analysis workbook

David W. Allen

(GIS tutorial for ArcGIS 10, 2)

ESRI, c2013

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内容説明・目次

内容説明

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. Also included is access to a 180-day trial of ArcGIS (R) for Desktop 10.1 software and a DVD with data for working through the exercises. Instructors can access additional resources.

目次

  • 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 Task index

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