In this chapter, we used many of the tools found in the Spatial Statistics Tools toolbox to real estate sales in San Antonio, Texas. After some data preparation work, we used the Similarity Search and Grouping Analysis tools to determine neighborhoods that are most similar to the current office location of Lone Star Realty. We also used the Hot Spot Analysis and Outlier and Cluster Analysis tools to determine neighborhood hot spots and outliers for the Lone Star Realty target market of homes in the $250,000 to $400,000 range. Finally, we combined the results of our analysis to define an area that we believe would be an optimal location for a second office location.
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Spatial Analytics with ArcGIS
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Spatial Analytics with ArcGIS
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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)
Preface
Free Chapter
Introduction to Spatial Statistics in ArcGIS and R
Measuring Geographic Distributions with ArcGIS Tools
Analyzing Patterns with ArcGIS Tools
Mapping Clusters with ArcGIS Tools
Modeling Spatial Relationships with ArcGIS Tools
Working with the Utilities Toolset
Introduction to the R Programming Language
Creating Custom ArcGIS Tools with ArcGIS Bridge and R
Application of Spatial Statistics to Crime Analysis
Application of Spatial Statistics to Real Estate Analysis
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