GIS Tutorial 2: Spatial Analysis Workbook provides hands-on exercises for intermediate-level GIS users to build problem-solving and analysis skills. A companion to the concepts in The Esri® Guide to GIS Analysis book series, GIS Tutorial 2 gives experience with various spatial analysis methods, including location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; and cluster identification. This edition has been updated for ArcGIS 10.3 for Desktop. Downloadable data is available on the Esri Press "Book Resources" web page, esripress.esri.comookresources. Additional resources are available for instructors.

Preface ix

Acknowledgments xi

Chapter 1: Mapping where things are 1

Tutorial 1-1 Working with categories 12

Exercise 1-1 12

Tutorial 1-2 Controlling which values are displayed 14

Exercise 1-2 19

Tutorial 1-3 Limiting values to display 21

Exercise 1-3 27

Chapter 2: Mapping the most and least 29

Tutorial 2-1 Mapping quantities 30

Exercise 2-1 41

Tutorial 2-2 Choosing classes 44

Exercise 2-2 56

Tutorial 2-3 Creating a map series 58

Exercise 2-3 66

Tutorial 2-4 Working with charts 68

Exercise 2-4 72

Chapter 3: Mapping density 75

Tutorial 3-1 Displaying density for analysis 76

Exercise 3-1 85

Tutorial 3-2 Creating dot density maps 87

Exercise 3-2 91

Tutorial 3-3 Creating a density surface 93

Exercise 3-3 98

Chapter 4: Finding what's inside 101

Tutorial 4-1 Overlaying datasets for analysis 102

Exercise 4-1 110

Tutorial 4-2 Finding what's partially inside 112

Exercise 4-2 120

Chapter 5: Finding what's nearby 123

Tutorial 5-1 Selecting what's nearby 124

Exercise 5-1129

Tutorial 5-2 Creating buffer features 131

Exercise 5-2 137

Tutorial 5-3 Clipping features 139

Exercise 5-3 146

Tutorial 5-4 Buffering values 148

Exercise 5-4 151

Tutorial 5-5 Using multiple buffer zones 153

Exercise 5-5 160

Tutorial 5-6 Quantifying nearness 162

Exercise 5-6 169

Tutorial 5-7 Creating distance surfaces 171

Exercise 5-7 177

Tutorial 5-8 Calculating cost along a network 179

Exercise 5-8 189

Tutorial 5-9 Calculating nearness along a net work 191

Exercise 5-9 195

Chapter 6: Mapping change 197

Tutorial 6-1 Mapping change in location 198

Exercise 6-1 205

Tutorial 6-2 Mapping change in location and magnitude 207

Exercise 6-2 212

Tutorial 6-3 Mapping percent change in value 214

Exercise 6-3 220

Chapter 7: Measuring geographic distribution 223

7-1 Calculating centers 224

Exercise 7-1 229

Tutorial 7-2 Adding weights to centers 231

Exercise 7-2 235

Tutorial 7-3 Calculating standard distance 237

Exercise 7-3 241

Tutorial 7-4 Calculating a standard deviational ellipse 243

Exercise 7-4 247

Tutorial 7-5 Calculating the linear directional mean 249

Exercise 7-5 253

Chapter 8: Analyzing patterns 255

Tutorial 8-1 Using average nearest neighbor 256

Exercise 8-1 264

Tutorial 8-2 Identifying the clustering of values 266

Exercise 8-2 272

Tutorial 8-3 Checking for multidistance clustering 274

Exercise 8-3 282

Tutorial 8-4 Measuring spatial autocorrelation 284

Exercise 8-4 289

Chapter 9: Identifying clusters 291

Tutorial 9-1 Performing cluster and outlier analysis 292

Exercise 9-1 299

Tutorial 9-2 Performing hot-spot analysis 301

Exercise 9-2304

Independent projects 307

Appendix A Task index 311

Appendix B Data source credits 315

Appendix C Data license agreement 321

Appendix D Installing the data and software 325

David W. Allen is the GIS manager for the City of Euless, Texas. He has taught at Tarrant County College since 1999, where he helped found one of the first GIS degree programs in Texas and establish a state standard for GIS degree programs. He is the author of GIS Tutorial for Python Scripting (Esri Press, 2014), Getting to Know ArcGIS® ModelBuilder™ (Esri Press, 2011) and the co-author of GIS Tutorial 3: Advanced Workbook (Esri Press, 2010 and Esri Press, forthcoming).

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