Spatial Analytics with ArcGIS
Pattern Analysis and cluster mapping made easyAbout This Book* Analyze patterns, clusters, and spatial relationships using ArcGIS tools* Get up to speed in R programming to create custom tools for analysis* Sift through tons of crime and real estate data and analyze it using the tools built in the bookWho This Book Is ForThis book is for ArcGIS developers who want to perform complex geographic analysis through the use of spatial statistics tools including ArcGIS and R. No knowledge of R is assumed. What You Will Learn* Get to know how to measure geographic distributions* Perform clustering analysis including hot spot and outlier analysis* Conduct data conversion tasks using the Utilities toolset* Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox* Get to grips with the basics of R for performing spatial statistical programming* Create custom ArcGIS tools with R and ArcGIS Bridge* Understand the application of Spatial Statistics tools and the R programming language through case studiesIn DetailSpatial 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. Style and approachFilled with live examples that you can code along with, this book will show you different methods and techniques to effectively analyze spatial data with ArcGIS and the R language. The exciting case studies at the end will help you immediately put your learning to practice
1 online resource (285 pages)
9781787124622, 1787124622
986177919
Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: 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; Chapter 2: Measuring Geographic Distributions with ArcGIS Tools; Measuring geographic centrality; Preparation. Running the Central Feature toolRunning 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; Chapter 3: 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 toolExamining 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; Chapter 4: 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. ExplanationPreparation; 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; Chapter 5: Modeling Spatial Relationships with ArcGIS Tools. The basics of Regression AnalysisWhy 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; Chapter 6: Working with the Utilities Toolset
The Calculate Distance Band from Neighbor Count tool