Spatial analysis workbook
Author(s)
Bibliographic Information
Spatial analysis workbook
(GIS tutorial for ArcGIS 10, 2)
ESRI, c2013
Available at 6 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Description and Table of Contents
Description
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.
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 Task index
by "Nielsen BookData"