GIS and spatial analysis for the social sciences : coding, mapping and modeling

This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry.

The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages.

GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.

• Title Page page 1
• Table of Contents pages 2-4
• Introduction pages 5 -29
• Section I Introduction to Geocoding and Mapping pages 30 - 165
• How to Make a Pin Map pages 33 - 36
• Why Geocode? Pages 37 - 38
• The Basics of Geocoding pages 38 - 49
• Ex: The Process of Geocoding pages 49 - 75
• Ex: The Science and Art of Interactive Geocoding pages 75 - 105
• Ex: Exporting a Geocoded Map pages 105 - 110
• Thematic Maps pages p. 110 - 112
• Ex: Creating a Thematic Map from Sample Data pages 113 - 129
• Ex: Racial Profiling Thematic Map pages 129 - 153
• Ex: Juvenile Crime Thematic Map pages 153 - 165
• Summary of
• Section I Page p. 165
• Section II Mapping for Analysis, Policy, and Decision Making pages 166 - 351
• Basic Multivariate Displays pages 168 - 170
• Mapping Rates pages 170 - 173
• Ex: Classification or World Armed Rivalries pages 173 - 184
• Ex: Subsets of Youth Violence pages 184 - 196
• Ex: Maps for School Planning pages 196 - 207
• Ex: Tessellations and Youth Violence pages 207 - 229
• Ex: Rates of Poverty Over Time in New Orleans pages 229 - 247
• Ex: Patterns of Residency by Ethnicity pages p. 247 - 25?
• Ex: Diffusion of Innovation in the United States pages 257 - 279
• (3D map) Ex: Socioeconomic Conditions in 3D pages 280 - 287
• Ex: Homicide Patterns pages 287 - 293
• Ex: Alcohol Availability and Youth Violence pages 293 - 297
• Ex: Hurricane Katrina's Impact on Children and Schools pages 297 - 308
• Ex: HIV and Armed National Rivalries pages 308 - 311
• Ex: Immigration and Unemployment in the U.S. pages 311 - 330
• Ex: California Education System pages 330 - 349
• Summary of
• Section II Pages p. 350 - 351
• Section III Geospatial Modeling and G.I.S. pages 352 - 415
• Why spatial modeling in this book? pages 353 - 354
• Why spatial modeling at all? Pages 354 - 363
• The Meaning of Space in Causal Modeling pages 363 - 365
• Measuring the Impact of Space and Spatial Relationships pages 365 - 369
• Statistical Issues in Spatial Modeling pages 369 - 375
• The Impact of Spatial Autocorrelations and Error Structures in Spatial Modeling pages 375 - 377
• Statistical Modeling of Spatial Data pages 378 - 382
• Types of Data Used in Spatial Models pages 382 - 385
• Choosing Software to Estimate Spatial Models pages 385 - 387
• Ex: A Cross Sectional Spatial Model: Gang Crime And Alcohol Availability pages 387 - 398
• Ex: Multi-Site Studies in Spatial Modeling pages 399 - 402
• Ex: Pooled Cross Sectional and Time Series Spatial Models pages 402 - 409
• Ex: Spatial Models: Limitations, Issues, And Emerging Developments pages 409 - 414
• Conclusion pages 414 - 415
• References pages 416 - 419
• Appendix 1 GIS Data Sources pages 420 - 422