An introduction to R for spatial analysis & mapping:
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Los Angeles [u.a.]
Sage
2015
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Ausgabe: | 1. publ. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | IX, 343 S. zahlr. Ill., graph. Darst., Kt. |
ISBN: | 9781446272954 1446272958 9781446272947 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | Titel: An introduction to R for spatial analysis mapping
Autor: Brunsdon, Chris
Jahr: 2015
CONTENTS
About the Authors x
Further Resources xi
Preface xii
1 INTRODUCTION 1
1.1 Objectives of This Book 1
1.2 Spatial Data Analysis in R 2
1.3 Chapters and Learning Arcs 2
1.4 The R Project for Statistical Computing 4
1.5 Obtaining and Running the R software 4
1.6 The R Interface 7
1.7 Other Resources and Accompanying Website 8
References 9
2 DATA AND PLOTS 10
2.1 Introduction 10
2.2 The Basic Ingredients of R: Variables and Assignment 11
2.3 Data Types and Data Classes 15
2.3.1 Data types in R 15
2.3.2 Data classes in R 19
2.3.3 Self-Test questions 29
2.4 Plots 36
2.4.1 Basic plot tools 36
2.4.2 Plot colours 40
2.5 Reading, Writing, Loading and Saving Data 44
2.5.1 Text files 44
2.5.2 R data files 45
2.5.3 Spatial data files 46
Answers to Self-Test Questions 47
3 HANDLING SPATIAL DATA IN R 50
3.1 Overview 50
3.2 Introduction: GISTools 50
3.2.1 Installing and loading GISTools 51
3.2.2 Spatial data in GISTools 51
CONTENTS
3.2.3 Embellishing the map 55
3.2.4 Saving your map 56
3.3 Mapping Spatial Objects 59
3.3.1 Introduction 59
3.3.2 Data 59
3.3.3 Plotting options 59
3.3.4 Adding context 63
3.4 Mapping Spatial Data Attributes 65
3.4.1 Introduction 65
3.4.2 Attributes and data frames 66
3.4.3 Mapping polygons and attributes 68
3.4.4 Mapping points and attributes 71
3.4.5 Mapping lines and attributes 79
3.4.6 Mapping raster attributes 80
3.5 Simple Descriptive Statistical Analyses 83
3.5.1 Histograms and boxplots 83
3.5.2 Scatter plots and regressions 85
3.5.3 Mosaic plots 87
3.6 Self-Test Questions 89
Answers to Self-Test Questions 93
References 97
4 PROGRAMMING IN R 98
4.1 Overview 98
4.2 Introduction 99
4.3 Building Blocks for Programs 100
4.3.1 Conditional statements 100
4.3.2 Code blocks 103
4.3.3 Functions 104
4.3.4 Loops and repetition 106
4.3.5 Debugging 108
4.4 Writing Functions 109
4.4.1 Introduction 109
4.4.2 Data checking 111
4.4.3 More data checking 112
4.4.4 Loops revisited 114
4.4.5 Further activity 116
4.5 Writing Functions for Spatial Data 116
4.5.1 Drawing polygons in a list 118
4.5.2 Automatically choosing the bounding box 119
4.5.3 Shaded maps 121
Answers to Self-Test Questions 124
CONTENTS
5 USING RAS A GIS 128
5.1 Introduction 128
5.2 Spatial Intersection or Clip Operations 129
5.3 Buffers 134
5.4 Merging Spatial Features 136
5.5 Point-in-Polygon and Area Calculations 137
5.5.1 Point-in-polygon 137
5.5.2 Area calculations 138
5.5.3 Point and areas analysis exercise 139
5.6 Creating Distance Attributes 143
5.6.1 Distance analysis/accessibility exercise 145
5.7 Combining Spatial Datasets and Their Attributes 149
5.8 Converting between Raster and Vector 153
5.8.1 Raster to vector 154
5.8.2 Converting to sp classes 157
5.8.3 Vector to raster 159
5.9 Introduction to Raster Analysis 160
5.9.1 Raster data preparation 161
5.9.2 Raster reclassification 162
5.9.3 Other raster calculations 165
Answers to Self-Test Questions 167
References 172
6 POINT PATTERN ANALYSIS USING R 173
6.1 Introduction 173
6.2 What is Special about Spatial? 173
6.2.1 Point patterns 174
6.3 Techniques for Point Patterns Using R 175
6.3.1 Kernel density estimates 175
6.3.2 Kernel density estimation using R 176
Self-Test Question 1 178
6.4 Further Uses of Kernel Density Estimation 179
6.4.1 Hexagonal binning using R 180
6.5 Second-Order Analysis of Point Patterns 184
6.5.1 Using the K-function in R 188
6.5.2 The L-function 192
6.5.3 The G-function 193
6.6 Looking at Marked Point Patterns 195
6.6.1 Cross-L-function analysis in R 196
6.7 Interpolation of Point Patterns with Continuous Attributes 199
6.7.1 Nearest neighbour interpolation 200
6.7.2 Inverse distance weighting 204
CONTENTS
6.8 The Kriging Approach 208
6.8.1 A brief introduction to kriging 209
6.8.2 Random functions 209
6.8.3 Estimating the semivariogram 211
6.9 Concluding Remarks 215
Answers to Self-Test Question 215
References 217
7 SPATIAL ATTRIBUTE ANALYSIS WITH R 218
7.1 Introduction 218
7.2 The Pennsylvania Lung Cancer Data 219
7.3 A Visual Exploration of Autocorrelation 220
7.3.1 Neighbours and lagged mean plots 223
7.4 Moran s 1: An Index of Autocorrelation 229
7.4.1 Moran s I in R 231
7.4.2 A simulation-based approach 234
7.5 Spatial Autoregression 235
7.6 Calibrating Spatial Regression Models in R 236
7.6.1 Models with predictors: A bivariate example 238
7.6.2 Further issues 242
7.6.3 Troubleshooting spatial regression 243
Answer to Self-Test Question 250
References 251
8 LOCALISED SPATIAL ANALYSIS 253
8.1 Introduction 253
8.2 Setting Up The Data Used in This Chapter 253
8.3 Local Indicators of Spatial Association 255
8.4 Further Issues with the Above Analysis 259
8.4.1 Multiple hypothesis testing 260
8.4.2 Issues with the Bonferroni approach 262
8.4.3 The false discovery rate 265
8.4.4 Which method to use? 266
8.5 The Normality Assumption and Local Moran s I 267
8.6 Getis and Ord s G-statistic 272
8.7 Geographically Weighted Approaches 278
8.7.1 Review of summary statistics 279
8.7.2 Geographically weighted summary statistics in R 280
8.7.3 Exploring non-stationarity of relationships 288
8.7.4 Robust, quantile-based local summary statistics 289
8.7.5 Geographically weighted regression 291
Answer to Self-Test Question 295
References 296
CONTENTS
9 R AND INTERNET DATA 298
9.1 Introduction 298
9.2 Direct Access to Data 299
9.3 Using RCurl 302
9.4 Working with APIs 306
9.4.1 Creating a statistical mashup 312
9.5 Using Specific Packages 315
9.6 Web Scraping 323
9.6.1 Scraping train times 326
Answer to Self-Test Question 328
References 328
10 EPILOGUE 329
Index
334
|
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author | Brunsdon, Chris Comber, Lex |
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discipline | Informatik Soziologie Wirtschaftswissenschaften Geographie |
edition | 1. publ. |
format | Book |
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spelling | Brunsdon, Chris Verfasser (DE-588)171743814 aut An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber R 1. publ. Los Angeles [u.a.] Sage 2015 IX, 343 S. zahlr. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier R Programm (DE-588)4705956-4 gnd rswk-swf Kartografie (DE-588)4029823-1 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 s DE-604 Raumdaten (DE-588)4206012-6 s Datenanalyse (DE-588)4123037-1 s Kartografie (DE-588)4029823-1 s Comber, Lex Verfasser (DE-588)1069224200 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027778629&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Brunsdon, Chris Comber, Lex An introduction to R for spatial analysis & mapping R Programm (DE-588)4705956-4 gnd Kartografie (DE-588)4029823-1 gnd Raumdaten (DE-588)4206012-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4705956-4 (DE-588)4029823-1 (DE-588)4206012-6 (DE-588)4123037-1 |
title | An introduction to R for spatial analysis & mapping |
title_alt | R |
title_auth | An introduction to R for spatial analysis & mapping |
title_exact_search | An introduction to R for spatial analysis & mapping |
title_full | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
title_fullStr | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
title_full_unstemmed | An introduction to R for spatial analysis & mapping Chris Brunsdon and Lex Comber |
title_short | An introduction to R for spatial analysis & mapping |
title_sort | an introduction to r for spatial analysis mapping |
topic | R Programm (DE-588)4705956-4 gnd Kartografie (DE-588)4029823-1 gnd Raumdaten (DE-588)4206012-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | R Programm Kartografie Raumdaten Datenanalyse |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027778629&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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