Spatial Analytics with ArcGISPackt Publishing Ltd, 26/04/2017 - 290 páginas Pattern Analysis and cluster mapping made easy About This BookAnalyze patterns, clusters, and spatial relationships using ArcGIS toolsGet up to speed in R programming to create custom tools for analysisSift 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 LearnGet to know how to measure geographic distributionsPerform clustering analysis including hot spot and outlier analysisConduct data conversion tasks using the Utilities toolsetUnderstand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics ToolboxGet to grips with the basics of R for performing spatial statistical programmingCreate custom ArcGIS tools with R and ArcGIS BridgeUnderstand 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. |
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Eric Pimpler. Table of Contents Preface 1 Chapter 1: Introduction to Spatial Statistics in ArcGIS and R 7 Introduction to spatial statistics 8 An overview of the Spatial Statistics Tools toolbox in ArcGIS 8 The Measuring Geographic ...
... tools in ArcGIS 196 The tool_exec() function 196 Creating the custom toolbox and tool 198 Exercise - creating a custom ArcGIS script tool with R 198 Summary 207 Chapter 9: Application of Spatial Statistics ... statistics about the crime ...
Eric Pimpler. Preface. The Spatial Statistics toolbox in ArcGIS contains a set of tools for analyzing spatial distributions, patterns, processes, and relationships. While similar to traditional statistics, spatial statistics are a unique ...
... data conversion tasks. These tools can be used in conjunction with other tools in the Spatial Statistics Tools toolbox. Tools covered in this chapter include Calculate Areas, Calculate Distance Band from Neighbor Count, Collect Events ...
... statistics, they also integrate spatial relationships into the calculations. In spatial statistics, proximity is important. Things that are closer together are more related. ArcGIS includes the Spatial Statistics Tools toolbox available ...
Índice
1 | |
7 | |
20 | |
38 | |
62 | |
Modeling Spatial Relationships with ArcGIS Tools | 110 |
Working with the Utilities Toolset | 148 |
Introduction to the R Programming Language | 162 |
Creating Custom ArcGIS Tools with ArcGIS Bridge and R | 188 |
Application of Spatial Statistics to Crime Analysis | 208 |
Application of Spatial Statistics to Real Estate Analysis | 237 |
Index | 270 |