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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 (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
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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 areas of high real estate sales activity


In this section of the study, we'll identify neighborhoods with high and low sales activity. This will include hot spot maps for both real estate activity in general as well as sales in our target range of $250,000 to $400,000. We'll also use the Cluster and Outlier Analysis tool to identify any potentially hidden, or outlier, neighborhoods where sales activity is significantly higher than surrounding neighborhoods that are experiencing low sales activity and vice versa.

Running the Hot Spot Analysis tool

We'll use the Hot Spot Analysis tool to generate two hot spot maps: one for all sales in the metropolitan area and another for sales within a range of $250,000 to $400,000:

  1. If necessary, open ArcMap with the SanAntonioRealEstate map document.
  2. Open the Hot Spot Analysis tool.
  3. The ZillowNeighborhoods_SA_Prj layer has a NormCnt field that was created in the Data preparation section of this chapter. This field was calculated by dividing the contents...
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