封面
版权信息
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
更新时间：2021-07-02 23:39:15
完结共152章
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