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Spatial aspects of crime theory and practice Derek J. Paulsen, Matthew B. Robinson.

Por: Colaborador(es): Detalles de publicación: Boston, MA Pearson A and B c2004.Descripción: xx, 363 p. ill. 28 cmISBN:
  • 0205361099
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Descripciones mejoradas de Syndetics:

Paulsen (Eastern Kentucky University) and Robinson (Appalachian State University) cover theoretical and practical aspects of crime mapping and give hands-on instructions in the practical use of Geographic Information Systems (GIS) for the spatial analysis of crime data in this text/workbook for stud

Includes bibliographical references (p. 337-354) and index.

gccoct2006

Tabla de contenidos provista por Syndetics

  • Preface(p. xvii)
  • Chapter 1 Introduction to Spatial Aspects of Crime: Theory and Practice(p. 1)
  • Introduction to Criminological Theory(p. 1)
  • An Introduction to the Book(p. 8)
  • Part I Theory(p. 11)
  • Chapter 2 Crime and Place(p. 13)
  • Introduction to Crime and Place(p. 13)
  • International Differences in Crime Distribution(p. 14)
  • Regional Differences in Crime Distribution(p. 22)
  • Differences in Urban and Rural Distributions of Crime Within the United States(p. 28)
  • Intra-City Differences in Distributions of Crime Within the United States(p. 36)
  • Spatial Aspects of Fear of Crime and Public Perception of Crime(p. 42)
  • Summary(p. 45)
  • Chapter 3 Social Disorganization(p. 53)
  • Introduction to Social Disorganization(p. 53)
  • Prehistory of Social Disorganization Theory: Cartographic School of Criminology(p. 54)
  • Early Social Disorganization Theories(p. 56)
  • The Chicago School of Criminology(p. 59)
  • Modern Social Disorganization Research(p. 64)
  • Problems and Criticisms of Theory(p. 71)
  • Summary(p. 73)
  • Chapter 4 Ecological Theories of Crime(p. 80)
  • Introduction to the Major Schools of Thought in Ecological Theory(p. 80)
  • Defensible Space(p. 81)
  • Crime Prevention Through Environmental Design (Cpted)(p. 86)
  • Situational Crime Prevention(p. 97)
  • Routine Activity Theory(p. 102)
  • Crime Pattern Theory(p. 107)
  • Summary of Major Findings and Implications(p. 113)
  • Chapter 5 Behavioral Geography and Criminal Behavior(p. 120)
  • An Introduction to Behavioral Geography(p. 121)
  • Mental Maps(p. 123)
  • Awareness Space(p. 126)
  • Journey to Crime(p. 130)
  • Geographic Profiling(p. 137)
  • Summary(p. 147)
  • Chapter 6 Epidemics, Diffusion, and Displacement of Crimes(p. 150)
  • Introduction to Epidemics, Diffusion, and Displacement(p. 150)
  • Epidemics(p. 151)
  • Displacement(p. 159)
  • Diffusion(p. 161)
  • Summary(p. 167)
  • Part II Practice(p. 173)
  • Chapter 7 Mapping in the Criminal Justice System(p. 175)
  • Introduction(p. 176)
  • History of Mapping in Criminal Justice(p. 176)
  • The Development of Mapping in American Policing(p. 177)
  • Uses of Crime Mapping Within Policing(p. 179)
  • Mapping in Courts and Corrections(p. 189)
  • Future Uses of Gis and Crime Mapping(p. 195)
  • Summary(p. 204)
  • Chapter 8 Major Issues in the Practice of Crime Mapping(p. 206)
  • Introduction(p. 206)
  • Barriers to the Use of Computerized Mapping(p. 207)
  • Data Issues(p. 211)
  • Critical Issues Concerning the Use of Computerized Mapping(p. 225)
  • Ethical and Legal Issues in Crime Mapping(p. 226)
  • Summary(p. 234)
  • Part III Crime Mapping Workbook(p. 239)
  • Workbook Section I Getting Started with GIS(p. 241)
  • Workbook Chapter 1 Getting Started with Arcview 3.3(p. 243)
  • Getting Started(p. 243)
  • Exploring Selected Arcview Tools(p. 246)
  • Review Questions(p. 249)
  • Further Readings(p. 249)
  • Workbook Chapter 2 Understanding Data Sources(p. 250)
  • Introduction(p. 250)
  • Different Types of Data(p. 250)
  • Sources of Data(p. 252)
  • Working with Different Data Types(p. 254)
  • Suggestions for Classifying Data(p. 256)
  • Project: Contextual Data Analysis(p. 256)
  • Review Questions(p. 257)
  • Workbook Chapter 3 Entering Data(p. 258)
  • Introduction(p. 258)
  • Geocoding Data(p. 258)
  • Practical Geocoding(p. 260)
  • Adding GPS Coordinates(p. 264)
  • Project: Geocoding Accuracy(p. 265)
  • Review Questions(p. 265)
  • Further Readings(p. 266)
  • Workbook Chapter 4 Querying and Merging Data(p. 267)
  • Introduction(p. 267)
  • Why Query and Merge Data?(p. 267)
  • Querying Themes(p. 268)
  • Merging Themes(p. 270)
  • Project: Merge and Query Data(p. 271)
  • Review Questions(p. 271)
  • Further Readings(p. 271)
  • Workbook Chapter 5 Understanding Layouts and Map Design(p. 272)
  • Introduction(p. 272)
  • Scale and Map Design(p. 272)
  • Map Elements(p. 273)
  • Map Layout(p. 274)
  • Editing Map Elements(p. 274)
  • Adding other Elements to the Layout(p. 277)
  • Printing and Exporting a Layout(p. 277)
  • Map Design(p. 278)
  • Project: Designing Effective Maps(p. 282)
  • Review Questions(p. 283)
  • Further Readings(p. 283)
  • Workbook Section II Basic Spatial Analysis(p. 285)
  • Workbook Chapter 6 Proximity Analysis(p. 287)
  • Introduction(p. 287)
  • What is Proximity Analysis and Why Use it?(p. 287)
  • Buffer Zone Analysis(p. 289)
  • Theme Selection(p. 290)
  • Exercises(p. 292)
  • Review Questions(p. 292)
  • Workbook Chapter 7 Spatial Distribution Analysis(p. 293)
  • Introduction(p. 293)
  • Mean Center Analysis(p. 294)
  • Standard Deviation Analysis(p. 297)
  • Performing Standard Deviation Analysis(p. 298)
  • Spatial Autocorrelation Analysis(p. 300)
  • Performing Moran's "I" and Geary's "C"(p. 301)
  • Exercises(p. 302)
  • Review Questions(p. 303)
  • Further Readings(p. 303)
  • Workbook Chapter 8 Distance Analysis(p. 305)
  • Introduction(p. 305)
  • Nearest Neighbor Index(p. 305)
  • K-Order Nearest Neighbor Analysis(p. 307)
  • Exercises(p. 309)
  • Review Questions(p. 309)
  • Further Readings(p. 309)
  • Workbook Section III Advanced Spatial Analysis(p. 311)
  • Workbook Chapter 9 Hot Spot Analysis(p. 313)
  • Introduction(p. 313)
  • Hot Spot Methods(p. 315)
  • Fuzzy Mode(p. 316)
  • Nearest Neighbor Hierarchical Clustering (Nnh)(p. 318)
  • Risk Adjusted Nearest Neighbor Analysis (Rnnh)(p. 321)
  • Exercises(p. 322)
  • Review Questions(p. 323)
  • Further Readings(p. 324)
  • Workbook Chapter 10 Density Mapping(p. 325)
  • Introduction(p. 325)
  • Single Kernel Density Interpolation(p. 326)
  • Dual Kernel Density Interpolation(p. 329)
  • Exercises(p. 331)
  • Review Questions(p. 331)
  • Further Readings(p. 332)
  • Workbook Chapter 11 Spatial Dispersion Mapping(p. 333)
  • Introduction(p. 333)
  • Performing Spatial Dispersion Mapping Using Dual Kernel Density Interpolation(p. 334)
  • Exercises(p. 335)
  • Review Questions(p. 336)
  • Further Readings(p. 336)
  • Bibliography(p. 337)
  • Index(p. 355)

Notas de autor provistas por Syndetics

Derek J. Paulsen: Eastern Kentucky University
Matthew B. Robinson: Appalachian State University
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