Cargando…

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 b...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pimpler, Eric
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2017.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.