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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

Finding outliers in real estate sales activity using the Cluster and Outlier Analysis tool


The next tool we'll examine is the Cluster and Outlier Analysis tool. This tool, in addition to performing hot spot analysis, identifies outliers in your data. Outliers are extremely relevant to many types of analysis. The tool starts by separating features and neighborhoods from the study area. Each feature is examined against every other feature to see if it is significantly different from the other features. Likewise, each neighborhood is examined in relationship to all other neighborhoods to see if it is statistically different than other neighborhoods. In this exercise, you'll learn how to use the Cluster and Outlier Analysis tool to find outliers (hot spots located in areas of cold spots and cold spots located in areas of hot spots).

Preparation

Let's get prepared before using the Cluster and Outlier Analysis tool for finding outliers in real estates sales activity by performing the following steps...

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