Spatial aspects of crime theory and practice Derek J. Paulsen, Matthew B. Robinson.
Detalles de publicación: Boston, MA Pearson A and B c2004.Descripción: xx, 363 p. ill. 28 cmISBN:- 0205361099
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca de Mayagüez Colección General mb | HV6018 .P378 2004 (Navegar estantería(Abre debajo)) | Disponible | 50000002168002 |
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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 UniversityMatthew B. Robinson: Appalachian State University