An Introduction to R for Spatial Analysis and Mapping. (2015)

• Record Type: Book
• Further Information: Note: Chris Brunsdon, Lex Comber.
• Authors: Brunsdon, Chris; Comber, Lex
• Contents: Part 1: Introduction; Objectives of this book; Spatial Data Analysis in R; Chapters and Learning Arcs; The R Project for Statistical Computing; Obtaining and Running the R software; The R interface; Other resources and accompanying website; Part 2: Data and Plots; The basic ingredients of R: variables and assignment; Data types and Data classes; Plots; Reading, writing, loading and saving data; Part 3: Handling Spatial Data in R; Introduction: GISTools; Mapping spatial objects; Mapping spatial data attributes; Simple descriptive statistical analyses; Part 4: Programming in R; Building blocks for Programs; Writing Functions; Writing Functions for Spatial Data; Part 5: Using R as a GIS; Spatial Intersection or Clip Operations; Buffers; Merging spatial features; Point-in-polygon and Area calculations; Creating distance attributes; Combining spatial datasets and their attributes; Converting between Raster and Vector; Introduction to Raster Analysis; Part 6: Point Pattern Analysis using R; What is Special about Spatial?; Techniques for Point Patterns Using R; Further Uses of Kernal Density Estimation; Second Order Analysis of Point Patterns; Looking at Marked Point Patterns; Interpolation of Point Patterns With Continuous Attributes; The Kringing approach; Part 7: Spatial Attribute Analysis With R; The Pennsylvania Lung Cancer Data; A Visual Exploration of Autocorrelation; Moran's I: An Index of Autocorrelation; Spatial Autoregression; Calibrating Spatial Regression Models in R; Part 8: Localised Spatial Analysis; Setting Up The Data Used in This Chapter; Local Indicators of Spatial Association; Self Test Question; Further Issues with the Above Analysis; The Normality Assumption and Local Moran's-I; Getis and Ord's G-statistic; Geographically Weighted Approaches; Part 9: R and Internet Data; Direct Access to Data; Using RCurl; Working with APIs; Using Specific Packages; Web Scraping; Epilogue;
• Publisher Details: London : SAGE Publications Ltd
• Publication Date: 2015
• Extent: 1 online resource (360 pages)
• Languages: English
• ISBNs: 9781473911208; 1473911206
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.