Understanding crime and place : a methods handbook / edited by Elizabeth R. Groff and Cory P. Haberman.

Format:

Book

Contributor:

Groff, Elizabeth (Elizabeth R.), editor.

Haberman, Cory P., 1985- editor.

ProQuest ebook central

Language:

English

Subjects (All):

Criminology--Research--Statistical methods.

Criminology.

Crime prevention--Research--Statistical methods.

Crime prevention.

Criminal statistics--Research.

Criminal statistics.

Crime--Environmental aspects.

Crime.

Physical Description:

1 online resource (xv, 423 pages illustrations (some color), maps (some color.

Place of Publication:

Philadelphia : Temple University Press, 2023.

Contents:

Part 1: Fundamental concepts and data. 1. Major Conceptual Issues in Crime and Place Research. 1.1. Theory & Research Questions in the Literature / Cory P. Haberman & Elizabeth R. Groff

1.2. Crime, Place, and Race: A Dialogue Furthering a Race Aware Program of Useful Research / Ajima Olaghere & John E. Eck

2. Foundational Spatial Concepts. 2.1. Points versus areal units / Cory P. Haberman & Elizabeth R. Groff

2.2. Vector and Raster Data / Jeffrey E. Clutter

2.3. Coordinate Systems, Projections, and Geocoding / David Mazeika

2.4. Euclidean Distance, Manhattan, and Network Distance / Andrew Newton

3. Spatial Units of Analysis. 3.1. Neighborhoods / Pamela Wilcox, Marie Skubak Tillyer, and Graham C. Ousey

3.2. Census Units / Pamela Wilcox, Marie Skubak Tillyer, and Graham C. Ousey

3.3. Micro-Units / Elizbeth R. Groff, Tom Brenneman, and Cory P. Haberman

4. Data at the Microgeographic Level. 4.1. Official police data / Lisa Tompson & Matthew P. J. Ashby

4.2. EMS Data / Julie Hibdon

4.3. Land Use & Facilities / Kathryn Wuschke

4.4. Street Networks / Toby Davies

4.5. Census Data: Gathering Data and Measures / Bradley J. O'Guinn

4.6. Open Data for Crime and Place Research: A Practical Guide in R. / Samuel Langton & Reka Solymosi

4.7. Using Crowdsourced Data to Study Crime and Place / David Buil-Gil and Reka Solymosi

4.8. Social media

Twitter data / Nick Malleson & Dan Birks

4.9. Victimization Surveys: Traditional and Innovative Approaches / Beidi Dong & Douglas J. Wiebe

4.10. Self-Report Data and the Study of Crime and Place: An Organizational Framework for Operationalization and Measurement of Proximal Factors / Caterina G. Roman

4.11. Primary Survey Data Collection at the Microgeographic Level / Clair White & David Weisburd

4.12. On-Site Assessments for Meso- and Micro-Scale Community Criminology / Ralph B. Taylor

4.13. Systematic Social Observation of Video Footage / Ajima Olaghere

Part 2: Techniques for Identifying and Explaining Crime Patterns. 5. Analyzing Spatial Point Patterns. 5.1. Understanding the Importance of Repeat Victimization / James Hunter and Ken Pease

5.2. Near Repeat Victimization / Shane D. Johnson

5.3. Distance-Based Point Pattern Tests: Ripley's K-Function and Nearest Neighbor Analysis / Alese Wooditch and Hannah Steinman

5.4. Point pattern tests: Andresen's Spatial point pattern test / Martin A. Andresen

5.5. Kernel density estimation / Jillian S. Desmond

6. Area Pattern Tests. 6.1. Modeling Spatial Autocorrelation / Ned Levine

7. Measuring Concentration. 7.1. Measures of Crime Concentration for Places & Other Units / YongJei Lee & John E. Eck

8. Regression Models. 8.1. Non-Spatial and Spatial Linear Regression / Wouter Steenbeek & Stijn Ruiter

8.2. Count Regression Modeling / Ned Levine & Dominique Lord

8.3. Using Geographically Weighted Regression to Explore Spatial Crime Patterns / Meagan Cahill

8.4. Mixed (AKA Multilevel) Models / Ralph B. Taylor

8.5. Group-Based Trajectory Analysis / Sue-Ming Yang

9. Measuring Interaction Potential. 9.1. Mobility Triangles / Julien Chopin, Eric Beauregard, and Stefano Caneppele

9.2. Crime Travel Demand Modeling / Ned Levine

9.3. Discrete Spatial Choice Models / Wim Bernasco

10. Other Analysis Techniques. 10.1. Conjunctive Analysis / Timothy C. Hart, Asier Moneva, & Miriam Esteve

10.2. Crime Scripting / Hervé Borrion & Hashem Dehghanniri

10.3. Agent-Based Simulation Models / Dan Birks & Nick Malleson

10.4. Small Area Estimation for Crime Analysis / David Buil-Gil

10.5. Incorporating time into studying crime and place / Matthew P. J. Ashby

10.6. Aoristic Analysis / Jerry H. Ratcliffe

10.7. Social Distance / Brian Lockwood

Part 3: Using Crime and Place Research to Inform Policy. 11. Issues Using Place-Based Experimental Evaluations. 11.1. Experiments / Lorraine Mazerolle, David Weisburd, David B. Wilson & Georgia Hassall

12. Considerations for Measuring Displacement in Place-Based Studies. 12.1. Measuring Displacement / Kate Bowers

12.2. Inverse Displacement Quotient / Evan T. Sorg

13. Defining units for place-based research. 13.1. Defining Hots Spots Areas for Rigorous Place-Based Policing Evaluations / Anthony A. Braga and Brandon S. Turchan

13.2. Creating Viewsheds to Evaluate the Effect of CCTV Camera Systems / Eric L. Piza, David N. Hatten, & Brandon C. Welsh

13.3. Evaluating an Acoustic Gunshot Detection System in Cincinnati / Dennis Mares.

Notes:

Includes bibliographical references and index.

Electronic reproduction. Ann Arbor, MI Available via World Wide Web.

Description based on print version record.

Other Format:

Online version: Understanding crime and place

ISBN:

9781439920688 (electronic bk.)

1439920680 (electronic bk.)

Publisher Number:

40031663928

Access Restriction:

Restricted for use by site license.