Frontiers in Spatial and Spatiotemporal Crime Analytics
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (31 December 2016) | Viewed by 64194
Special Issue Editors
Interests: spatial and spatiotemporal analyses; computational urban geography; GIS modeling; real estate economics; active transportation; built and natural environment; health geography
Special Issues, Collections and Topics in MDPI journals
Interests: geography of crime; medical geography; computer cartography
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Criminological theory is well-developed but analytical techniques to explore and model crime are lagging behind. Due to the emergence and accumulation of a wide range of environmental data, volunteered geographic information, and statistical data, among others, all being highly relevant for crime analytics, it is of particular relevance to keep pace with these developments.
While geographic information system-based methods have nowadays gained momentum to map crime patterns, advanced data-driven computational methods (e.g., machine learning, Bayesian spatiotemporal models) are still in its infancy and are far from being mainstream. However, other disciplines provide evidence that these approaches are highly capable for solving classification problems, forecasting, and to extract patterns hidden in the data otherwise overseen by basic methods. Therefore, the amalgamation of criminology with computational methods seems to be a rational next step on the research agenda. We anticipate that this methodological progress will yield more reliable risk assessments and more accurate predictions of crime as demanded by criminal justice agencies and needed for evidence-based criminal justice decision-making.
Therefore, the prime aim of this Special Issue is to publish original research or review papers in order to stimulate further discussion on the development and application of latest data-driven scientific advances to understand crime patterns and criminal behavior, their dynamics over time and across space, and the underlying key mechanisms.
This Special Issue is a follow-up publication on an edited book (Leitner 2013) and a Special Issue (Leitner and Helbich 2015) on crime mapping principles and we believe that this new collection of papers will contribute to the contemporary research agenda on crime modeling from a computational and data-driven perspective. We encourage both theoretical, as well as application-oriented papers, dealing with these emerging issues. Our interest is in papers that cover a wide spectrum of methodological and domain-specific topics, including, but not limited to, the following:
- Forecasting
- Classification and detection of hotspots
- Text mining
- Predictive modeling
- Model competitions
- Risk assessments
- Criminogenic exposure assessments
- Criminal Geographic Profiling
- (Bayesian) spatial and spatiotemporal modeling
- Terrorism
- Cyber crime
- Human trafficking
- Drug trafficking
- Exceptional events and crime
- Privacy issues and masking for privacy prevention
- Etc.
Dr. Marco Helbich
Prof. Dr. Michael Leitner
Guest Editors
Submission
Manuscripts should be submitted to the ISPRS International Journal of Geo-Information online at www.mdpi.com by registering and logging into this website. Once you are registered, go to the submission form. Manuscripts can be submitted until the deadline (31.12.2016). Papers will be published continuously (as soon as finally accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 250 words, including the authors’ names and affiliations) must be sent to the editors ([email protected], [email protected]) until 30.6.2016. Authors will be notified by 8.7.2016 whether the research described in the abstract fits the topic of the special issue. In that case authors are invited to submit a full manuscript and the Editorial Office will post all accepted abstracts to the ISPRS Geo-Information website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except shorter versions in the form of conference proceedings papers, which must be indicated explicitly on the submitted manuscript.). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed Open Access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 900 CHF (Swiss Francs).
References
Leitner, M. (ed.) (2013) Crime Modeling and Mapping Using Geospatial Technologies. Springer: Heidelberg, 446 pages.
Leitner, M. & M. Helbich (eds.) (2015) Innovative Crime Modeling and Mapping. Special Issue of Cartography and Geographic Information Science, vol. 42, no. 2, pp. 95–209.
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