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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
4 (1)
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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

4 (1)
By: Eric Pimpler

Overview of this book

Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data.
Table of Contents (11 chapters)
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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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