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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

By : Eric Pimpler
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Spatial Analytics with ArcGIS

Spatial Analytics with ArcGIS

4 (1)
By: Eric Pimpler

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)
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The Collect Events tool

The Collect Events tool converts event data points to weighted point data. This tool creates an output feature class containing all unique locations. By unique locations, we mean that the point locations must have the exact same x,y location. If your data has many points that are close together but not identical, you could consider using the Integrate tool to snap nearby features together before using the Collect Events tool.

The output feature class will contain an ICOUNT field that contains the sum of all incidents at each unique location. Tools such as Hot Spot Analysis, Cluster and Outlier Analysis, and Spatial Autocorrelation require weighted points for use in their analysis rather than individual incidents, so the Collect Events tool can be used to create the weighted points. In this exercise, you'll use the Collect Events tool to group residential real estate sales.

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