Spatial Analytics with ArcGIS

Cover......Page 1
Credits......Page 4
About the Author......Page 5
About the Reviewer......Page 6
www.PacktPub.com......Page 7
Customer Feedback......Page 8
Table of Contents......Page 9
Preface......Page 13
Chapter 1: Introduction to Spatial Statistics in ArcGIS and R......Page 19
  The Measuring Geographic Distributions toolset......Page 20
  The Analyzing Patterns toolset......Page 22
  The Mapping Clusters toolset......Page 23
  The Modeling Spatial Relationships toolset......Page 26
 Integrating R with ArcGIS......Page 30
 Summary......Page 31
  Preparation......Page 32
  Running the Central Feature tool......Page 36
  Running the Mean Center tool......Page 38
  Running the Median Center tool......Page 40
  Preparation......Page 43
  Running the Standard Distance tool......Page 45
  Running the Directional Distribution tool......Page 48
 Summary......Page 49
 The Analyzing Patterns toolset......Page 50
  P-values......Page 51
  Z-scores and standard deviation......Page 52
  Preparation......Page 53
  Running the Average Nearest Neighbor tool......Page 55
  Examining the HTML report......Page 57
 Using Spatial Autocorrelation to analyze patterns......Page 58
  Preparation......Page 59
  Running the Spatial Autocorrelation tool......Page 63
  Examining the HTML report......Page 65
 Using the Multi-Distance Spatial Cluster Analysis tool to determine clustering or dispersion......Page 66
  Preparation......Page 67
  Running the Multi-Distance Spatial Cluster Analysis tool......Page 69
  Examining the output......Page 71
 Summary......Page 73
Chapter 4: Mapping Clusters with ArcGIS Tools......Page 74
 Using the Similarity Search tool......Page 75
  Preparation......Page 77
  Running the Similarity Search tool......Page 78
  Interpreting the results......Page 80
 Using the Grouping Analysis tool......Page 81
  Preparation......Page 83
  Running the Grouping Analysis tool......Page 84
  Interpreting the results......Page 86
 Analysing real estate sales with the Hot Spot Analysis tool......Page 90
  Explanation......Page 91
  Preparation......Page 93
  Running the Hot Spot Analysis tool......Page 100
 Using the Optimized Hot Spot Analysis tool in real estate sales......Page 105
  Running the Optimized Hot Spot Analysis tool......Page 106
  Interpreting the results......Page 109
  Running the Optimized Hot Spot Analysis tool......Page 112
  Running the Cluster and Outlier Analysis tool......Page 117
  Interpreting the results......Page 119
 Summary......Page 121
Chapter 5: Modeling Spatial Relationships with ArcGIS Tools......Page 122
  Regression Analysis terms and concepts......Page 123
 Linear regression with the Ordinary Least Squares (OLS) tool......Page 125
  Running the Ordinary Least Squares tool......Page 127
  Examining the output generated by the tool......Page 130
 Using the Exploratory Regression tool......Page 144
  Running the Exploratory Regression tool......Page 145
  Examining the output generated by the tool......Page 147
 Using the Geographically Weighted Regression tool......Page 150
  Running the Geographically Weighted Regression tool......Page 151
  Examining the output generated by the tool......Page 152
 Summary......Page 159
Chapter 6: Working with the Utilities Toolset......Page 160
  Running the Calculate Distance Band from Neighbor Count tool......Page 161
  Using the maximum distance as the distance band in the Hot Spot Analysis tool......Page 163
  Data preparation......Page 165
  Executing the Collect Events tool......Page 167
  Using the Collect Events results in the Hot Spot Analysis tool......Page 170
 The Export Feature Attribute to ASCII tool......Page 171
  Exporting a feature class......Page 172
 Summary......Page 173
Chapter 7: Introduction to the R Programming Language......Page 174
 Installing R and the R interface......Page 175
 Variables and assignment......Page 177
 R data types......Page 181
  Vectors......Page 182
  Matrices......Page 184
  Data frames......Page 186
  Factors......Page 189
  Reading, writing, loading, and saving data......Page 191
 Summary......Page 199
Chapter 8: Creating Custom ArcGIS Tools with ArcGIS Bridge and R......Page 200
 Installing the R-ArcGIS Bridge package......Page 201
  Introduction to the arcgisbinding package......Page 205
   The arcgisbinding package functionality - accessing ArcGIS format data......Page 206
   The arcgisbinding package functionality - progress bar......Page 207
   The tool_exec() function......Page 208
   Exercise - creating a custom ArcGIS script tool with R......Page 210
 Summary......Page 219
Chapter 9: Application of Spatial Statistics to Crime Analysis......Page 220
 Obtaining the crime dataset......Page 221
  Data preparation......Page 228
  Getting descriptive spatial statistics about the crime dataset......Page 233
  Using the Analyzing Patterns tool in the crime dataset......Page 235
 Using the Mapping Clusters tool in vehicle theft data......Page 237
   Data preparation......Page 240
   Spatial Statistical Analysis......Page 247
 Summary......Page 248
Chapter 10: Application of Spatial Statistics to Real Estate Analysis......Page 249
 Obtaining the Zillow real estate datasets......Page 250
 Data preparation......Page 251
 Finding similar neighborhoods......Page 255
  The Similarity Search tool......Page 256
  The Grouping Analysis tool......Page 261
  Running the Hot Spot Analysis tool......Page 264
 Recommendations for the client......Page 277
 Summary......Page 281
Index......Page 282