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Spatial Analytics with ArcGIS

You're reading from   Spatial Analytics with ArcGIS Build powerful insights with spatial analytics

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787122581
Length 290 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Eric Pimpler Eric Pimpler
Author Profile Icon Eric Pimpler
Eric Pimpler
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Spatial Statistics in ArcGIS and R FREE CHAPTER 2. Measuring Geographic Distributions with ArcGIS Tools 3. Analyzing Patterns with ArcGIS Tools 4. Mapping Clusters with ArcGIS Tools 5. Modeling Spatial Relationships with ArcGIS Tools 6. Working with the Utilities Toolset 7. Introduction to the R Programming Language 8. Creating Custom ArcGIS Tools with ArcGIS Bridge and R 9. Application of Spatial Statistics to Crime Analysis 10. Application of Spatial Statistics to Real Estate Analysis

Measuring geographic centrality

In this exercise, all three tools will be used to obtain descriptive spatial statistics about crime data for the city of Denver.

Preparation

Let's get prepared for obtaining spatial statistical information about a dataset using ArcGIS, as follows:

  1. In ArcMap, open the C:\GeospatialTraining\SpatialStats\DenverCrime.mxd file. You should see a point feature class called Crime, as shown in the following screenshot:
Point locations for all crimes for the city of Denver 2013
  1. The Crime feature class contains point locations for all crimes for the city of Denver in 2013. The first thing we need to do is isolate a type of crime for our analysis. Open the attribute table for the crime feature class.
  1. Use the Select by Attributes......
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