最新章節
- Summary
- Recommendations for the client
- Running the Hot Spot Analysis tool
- Finding areas of high real estate sales activity
- The Grouping Analysis tool
- The Similarity Search tool
品牌：中圖公司
上架時間：2021-07-02 18:55:26
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
- Summary 更新時間：2021-07-02 23:39:15
- Recommendations for the client
- Running the Hot Spot Analysis tool
- Finding areas of high real estate sales activity
- The Grouping Analysis tool
- The Similarity Search tool
- Finding similar neighborhoods
- Data preparation
- Obtaining the Zillow real estate datasets
- Application of Spatial Statistics to Real Estate Analysis
- Summary
- Spatial Statistical Analysis
- Data preparation
- Modeling vehicle theft with Regression Analysis
- Using the Mapping Clusters tool in vehicle theft data
- Using the Analyzing Patterns tool in the crime dataset
- Getting descriptive spatial statistics about the crime dataset
- Data preparation
- Obtaining the crime dataset
- Application of Spatial Statistics to Crime Analysis
- Summary
- Exercise - creating a custom ArcGIS script tool with R
- Creating the custom toolbox and tool
- The tool_exec() function
- Introduction to custom script tools in ArcGIS
- The arcgisbinding package functionality - progress bar
- The arcgisbinding package functionality - shape classes
- The arcgisbinding package functionality - accessing ArcGIS format data
- The arcgisbinding package functionality - checking for licenses
- Introduction to the arcgisbinding package
- Building custom ArcGIS tools with R
- Installing the R-ArcGIS Bridge package
- Creating Custom ArcGIS Tools with ArcGIS Bridge and R
- Summary
- Additional R study options
- Reading writing loading and saving data
- Lists
- Factors
- Data frames
- Matrices
- Vectors
- R data types
- Variables and assignment
- Installing R and the R interface
- Introduction to the R Programming Language
- Summary
- Exporting a feature class
- The Export Feature Attribute to ASCII tool
- Using the Collect Events results in the Hot Spot Analysis tool
- Executing the Collect Events tool
- Data preparation
- The Collect Events tool
- Using the maximum distance as the distance band in the Hot Spot Analysis tool
- Running the Calculate Distance Band from Neighbor Count tool
- The Calculate Distance Band from Neighbor Count tool
- Working with the Utilities Toolset
- Summary
- Examining the output generated by the tool
- Running the Geographically Weighted Regression tool
- Using the Geographically Weighted Regression tool
- Examining the output generated by the tool
- Running the Exploratory Regression tool
- Using the Exploratory Regression tool
- Examining the output generated by the tool
- Running the Ordinary Least Squares tool
- Linear regression with the Ordinary Least Squares (OLS) tool
- Regression Analysis terms and concepts
- Why use Regression Analysis?
- The basics of Regression Analysis
- Modeling Spatial Relationships with ArcGIS Tools
- Summary
- Interpreting the results
- Running the Cluster and Outlier Analysis tool
- Preparation
- Finding outliers in real estate sales activity using the Cluster and Outlier Analysis tool
- Running the Optimized Hot Spot Analysis tool
- Preparation
- Creating Hot Spot maps from point data using the Optimized Hot Spot Analysis tool
- Interpreting the results
- Running the Optimized Hot Spot Analysis tool
- Preparation
- Using the Optimized Hot Spot Analysis tool in real estate sales
- Running the Hot Spot Analysis tool
- Preparation
- Explanation
- Analysing real estate sales with the Hot Spot Analysis tool
- Interpreting the results
- Running the Grouping Analysis tool
- Preparation
- Using the Grouping Analysis tool
- Interpreting the results
- Running the Similarity Search tool
- Preparation
- Using the Similarity Search tool
- Mapping Clusters with ArcGIS Tools
- Summary
- Examining the output
- Running the Multi-Distance Spatial Cluster Analysis tool
- Preparation
- Using the Multi-Distance Spatial Cluster Analysis tool to determine clustering or dispersion
- Examining the HTML report
- Running the Spatial Autocorrelation tool
- Preparation
- Using Spatial Autocorrelation to analyze patterns
- Examining the HTML report
- Running the Average Nearest Neighbor tool
- Preparation
- Using the Average Nearest Neighbor tool
- Z-scores and standard deviation
- P-values
- Understanding the null hypothesis
- The Analyzing Patterns toolset
- Analyzing Patterns with ArcGIS Tools
- Summary
- Running the Directional Distribution tool
- Running the Standard Distance tool
- Preparation
- The Standard Distance and Directional Distribution tools
- Running the Median Center tool
- Running the Mean Center tool
- Running the Central Feature tool
- Preparation
- Measuring geographic centrality
- Measuring Geographic Distributions with ArcGIS Tools
- Summary
- Integrating R with ArcGIS
- The Modeling Spatial Relationships toolset
- The Mapping Clusters toolset
- The Analyzing Patterns toolset
- The Measuring Geographic Distributions toolset
- An overview of the Spatial Statistics Tools toolbox in ArcGIS
- Introduction to spatial statistics
- Introduction to Spatial Statistics in ArcGIS and R
- Questions
- Piracy
- Errata
- Downloading the color images of this book
- Downloading the example code
- Customer support
- Reader feedback
- Conventions
- Who this book is for
- What you need for this book
- What this book covers
- Preface
- Customer Feedback
- www.PacktPub.com
- About the Reviewer
- About the Author
- Credits
- 版權信息
- 封面
- 封面
- 版權信息
- 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 更新時間：2021-07-02 23:39:15
