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GIS Tutorial 2 Spatial Analysis Workbook 10.1 Edition at Meripustak

GIS Tutorial 2 Spatial Analysis Workbook 10.1 Edition by David W. Allen, EUROSPAN GROUP

Books from same Author: David W. Allen

Books from same Publisher: EUROSPAN GROUP

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  • General Information  
    Author(s)David W. Allen
    PublisherEUROSPAN GROUP
    ISBN9781589483378
    Pages330
    BindingPaperback with Sewin
    LanguageEnglish
    Publish YearApril 2013

    Description

    EUROSPAN GROUP GIS Tutorial 2 Spatial Analysis Workbook 10.1 Edition by David W. Allen

    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. 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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