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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
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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 similar neighborhoods

In this section of the project, you will identify neighborhoods that are similar to the Stone Oak neighborhood where Lone Star Realty has it's current office location with respect to some basic real estate characteristics of the area. The results of this analysis will be used later in the chapter when we combine some additional analysis with the similarity search.

You will also generate a dataset that groups neighborhoods based on various real estate sales characteristics. Lone Star Realty will then use these groups to focus marketing efforts on those areas most common to its existing market area. Later in the chapter, we'll also identify neighborhoods where sales in the target market for Lone Star Realty have been strong over the past year and match those with the grouped neighborhoods defined by the grouping analysis.

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