Spatial Analytics with ArcGIS电子书

Title Page

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

Introduction to Spatial Statistics in ArcGIS and R

Introduction to spatial statistics

An overview of the Spatial Statistics Tools toolbox in ArcGIS

The Measuring Geographic Distributions toolset

The Analyzing Patterns toolset

The Mapping Clusters toolset

The Modeling Spatial Relationships toolset

Integrating R with ArcGIS

Summary

Measuring Geographic Distributions with ArcGIS Tools

Measuring geographic centrality

Preparation

Running the Central Feature tool

Running the Mean Center tool

Running the Median Center tool

The Standard Distance and Directional Distribution tools

Preparation

Running the Standard Distance tool

Running the Directional Distribution tool

Summary

Analyzing Patterns with ArcGIS Tools

The Analyzing Patterns toolset

Understanding the null hypothesis

P-values

Z-scores and standard deviation

Using the Average Nearest Neighbor tool

Preparation

Running the Average Nearest Neighbor tool

Examining the HTML report

Using Spatial Autocorrelation to analyze patterns

Preparation

Running the Spatial Autocorrelation tool

Examining the HTML report

Using the Multi-Distance Spatial Cluster Analysis tool to determine clustering or dispersion

Preparation

Running the Multi-Distance Spatial Cluster Analysis tool

Examining the output

Summary

Mapping Clusters with ArcGIS Tools

Using the Similarity Search tool

Preparation

Running the Similarity Search tool

Interpreting the results

Using the Grouping Analysis tool

Preparation

Running the Grouping Analysis tool

Interpreting the results

Analysing real estate sales with the Hot Spot Analysis tool

Explanation

Preparation

Running the Hot Spot Analysis tool

Using the Optimized Hot Spot Analysis tool in real estate sales

Preparation

Running the Optimized Hot Spot Analysis tool

Interpreting the results

Creating Hot Spot maps from point data using the Optimized Hot Spot Analysis tool

Preparation

Running the Optimized Hot Spot Analysis tool

Finding outliers in real estate sales activity using the Cluster and Outlier Analysis tool

Preparation

Running the Cluster and Outlier Analysis tool

Interpreting the results

Summary

Modeling Spatial Relationships with ArcGIS Tools

The basics of Regression Analysis

Why use Regression Analysis?

Regression Analysis terms and concepts

Linear regression with the Ordinary Least Squares (OLS) tool

Running the Ordinary Least Squares tool

Examining the output generated by the tool

Using the Exploratory Regression tool

Running the Exploratory Regression tool

Examining the output generated by the tool

Using the Geographically Weighted Regression tool

Running the Geographically Weighted Regression tool

Examining the output generated by the tool

Summary

Working with the Utilities Toolset

The Calculate Distance Band from Neighbor Count tool

Running the Calculate Distance Band from Neighbor Count tool

Using the maximum distance as the distance band in the Hot Spot Analysis tool

The Collect Events tool

Data preparation

Executing the Collect Events tool

Using the Collect Events results in the Hot Spot Analysis tool

The Export Feature Attribute to ASCII tool

Exporting a feature class

Summary

Introduction to the R Programming Language

Installing R and the R interface

Variables and assignment

R data types

Vectors

Matrices

Data frames

Factors

Lists

Reading, writing, loading, and saving data

Additional R study options

Summary

Creating Custom ArcGIS Tools with ArcGIS Bridge and R

Installing the R-ArcGIS Bridge package

Building custom ArcGIS tools with R

Introduction to the arcgisbinding package

The arcgisbinding package functionality - checking for licenses

The arcgisbinding package functionality - accessing ArcGIS format data

The arcgisbinding package functionality - shape classes

The arcgisbinding package functionality - progress bar

Introduction to custom script tools in ArcGIS

The tool_exec() function

Creating the custom toolbox and tool

Exercise - creating a custom ArcGIS script tool with R

Summary

Application of Spatial Statistics to Crime Analysis

Obtaining the crime dataset

Data preparation

Getting descriptive spatial statistics about the crime dataset

Using the Analyzing Patterns tool in the crime dataset

Using the Mapping Clusters tool in vehicle theft data

Modeling vehicle theft with Regression Analysis

Data preparation

Spatial Statistical Analysis

Summary

Application of Spatial Statistics to Real Estate Analysis

Obtaining the Zillow real estate datasets

Data preparation

Finding similar neighborhoods

The Similarity Search tool

The Grouping Analysis tool

Finding areas of high real estate sales activity

Running the Hot Spot Analysis tool

Recommendations for the client

Summary