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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
www.PacktPub.com
Customer Feedback
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

Analysing real estate sales with the Hot Spot Analysis tool


The Hot Spot Analysis tool examines features and their attributes to identify statistically significant hot spots and cold spots using the Getis-Ord Gi* statistics. It provides a visual clustering of high, low, and not significant values. Each feature is assigned as a hot spot, cold spot, or not significant. To perform the analysis, a neighborhood is defined for each feature. How a neighborhood is defined is critical to the output of the tool as it is the neighborhood that is examined in relation to the study area for assignment of each feature.

 

Explanation

At a high level, let's examine what occurs during the hot spot analysis process. Each feature in the dataset has an attribute value that is being measured in the analysis. A neighborhood is assigned to each feature. This neighborhood is critical to the analysis. You must decide how the neighborhood is to be defined as part of the input parameters of the tool. If you don't have...

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