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. Linear regression with the Ordinary Least Squares (OLS) tool Running the Ordinary Least Squares tool Examining the output generated by the tool 113 115 118 Using the Exploratory Regression tool 132 Running the Exploratory ...
... Regression, and Exploratory Regression. Chapter 6, Working with the Utilities Toolset, covers the utility scripts that perform a variety of data conversion tasks. These tools can be used in conjunction with other tools in the Spatial ...
... regression, statistical comparisons of spatial datasets, statistical modeling and prediction of spatial interaction, and more. The many types of spatial statistics include descriptive, inferential, exploratory ... Statistics Tools toolbox in ...
Eric Pimpler. Cluster and Outlier Analysis: The final tool in the Mapping ... regression analysis tools that help you examine and/or quantify the ... Exploratory Regression. [14] Introduction to Spatial Statistics in ArcGIS and R The ...
Eric Pimpler. The regression tools provided in the Spatial Statistics Tools toolbox model relationships among data ... Exploratory Regression tool allows you to examine a large number of Ordinary Least Squares models quickly, summarize ...
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 |