The DOI matches its Crossref record.
GIS and Crime Mapping
Abstract
GIS and Crime Mapping is the definitive text to support readers with the fundamental theory, scientific methodologies, analysis techniques, application design, and management processes for implementing and developing crime mapping. The book includes a comprehensive presentation of GIS, crime mapping and geographic crime analysis solutions for operational, tactical, investigative, and strategic policing and crime reduction purposes. Topics in this book include, • The basics of GIS for mapping crime • Definitions and geographical structures within criminal justice • The principle spatial theories of crime • Spatial statistics for crime analysis • Crime hotspots • Mapping and analysing change over time • Mapping crime with local community data • Information sharing • GIS and crime mapping for operational, tactical, investigative, and strategic policing and crime reduction • Crime map cartography • Implementing GIS and crime mapping • Managing and organising crime mapping and analysis. GIS and Crime Mapping draws from the authors’ international expertise and experiences. The book includes short case studies at relevant sections to help demonstrate the key principles, concepts and applications of crime mapping, and bring an added international richness and depth. GIS and Crime Mapping uniquely combines the topics of theoretical principles, GIS, analysis, map design, and organisational structures of GIS and crime mapping for policing and crime reduction, delivered in a style that is accessible to a broad range of readers. These include intelligence and crime analysts; policing, intelligence, law enforcement and crime reduction practioners; and academics, lecturers, researchers and students in GIS, crime science, crime prevention, community safety, criminal justice or criminology. GIS and Crime Mapping acts as an important and timely book in this growing and exciting field.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
RATCLIFFE, J. H., TANIGUCHI, T., GROFF, E. R., & WOOD, J. D. (2011) · Criminology · doi:10.1111/j.1745-9125.2011.00240.x · Cited by 436
Self-citationRandomized Controlled Field Trials of Predictive Policing
Mohler, G. O., Short, M. B., Malinowski, S., Johnson, M., Tita, G. E., Bertozzi, A. L., & Brantingham, P. J. (2015) · Journal of the American Statistical Association · doi:10.1080/01621459.2015.1077710 · Cited by 381
Predictable Policing: Measuring the Crime Control Benefits of Hotspots Policing at Bus Stops
Ariel, B., & Partridge, H. (2017) · Journal of Quantitative Criminology · doi:10.1007/s10940-016-9312-y · Cited by 81
The Philadelphia predictive policing experiment
Ratcliffe, J. H., Taylor, R. B., Askey, A. P., Thomas, K., Grasso, J., Bethel, K. J., Fisher, R., & Koehnlein, J. (2021) · Journal of Experimental Criminology · doi:10.1007/s11292-019-09400-2 · Cited by 74
“A substantial canon demonstrates that crime is unevenly distributed among places and victims (Felson 1987; Sherman et al. 1989; Weisburd and Eck 2004), and a number of spatial theories of crime can explain short-term changes in crime risk for small areas (Chainey and Ratcliffe 2005).”
Self-citationMeasuring the Spatial and Temporal Patterns of Police Proactivity
Wu, X., & Lum, C. (2017) · Journal of Quantitative Criminology · doi:10.1007/s10940-016-9318-5 · Cited by 52
Metadata
- Authors
- Chainey, S., & Ratcliffe, J.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2005-05-27
- OpenAlex
- W166741661
- Cited by
- 638
- References
- 0
- FWCI
- 23.43
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: GIS and Crime Mapping. https://app.cochat.ai/papers/10.1002/9781118685181
- The paper
- Chainey, S., & Ratcliffe, J. (2005). GIS and Crime Mapping. Wiley eBooks. https://doi.org/10.1002/9781118685181
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
