research-article

Spatiotemporal correlations in criminal offense records

Authors:

Jameson L. Toole,

Joshua B. PlotkinAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 2, Issue 4

Article No.: 38, Pages 1 - 18

https://doi.org/10.1145/1989734.1989742

Published: 15 July 2011 Publication History

Abstract

With the increased availability of rich behavioral datasets, we present a novel application of tools to analyze this information. Using criminal offense records as an example, we employ cross-correlation measures, eigenvalue spectrum analysis, and results from random matrix theory to identify spatiotemporal patterns on multiple scales. With these techniques, we show that most significant correlation exists on the time scale of weeks and identify clusters of neighborhoods whose crime rates are affected simultaneously by external forces.

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Mauri AHsu YVerma HTocchetti ABrambilla MBozzon A(2024)Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-MakingProceedings of the ACM on Human-Computer Interaction10.1145/36869088:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686908
Zhou BZhou HWang WChen LMa JZheng Z(2024)HDM-GNN: A Heterogeneous Dynamic Multi-view Graph Neural Network for Crime PredictionACM Transactions on Sensor Networks10.1145/3665141Online publication date: 14-May-2024
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Spatiotemporal correlations in criminal offense records

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Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 2, Issue 4

July 2011

272 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/1989734

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Copyright © 2011 ACM.

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Association for Computing Machinery

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Publication History

Published: 15 July 2011

Accepted: 01 August 2010

Revised: 01 August 2010

Received: 01 July 2010

Published in TIST Volume 2, Issue 4

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Cited By

Mauri AHsu YVerma HTocchetti ABrambilla MBozzon A(2024)Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-MakingProceedings of the ACM on Human-Computer Interaction10.1145/36869088:CSCW2(1-42)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686908
Zhou BZhou HWang WChen LMa JZheng Z(2024)HDM-GNN: A Heterogeneous Dynamic Multi-view Graph Neural Network for Crime PredictionACM Transactions on Sensor Networks10.1145/3665141Online publication date: 14-May-2024
https://dl.acm.org/doi/10.1145/3665141
Haque MSaxena DWeathington KChudzik JGuha S(2024)Are We Asking the Right Questions?: Designing for Community Stakeholders’ Interactions with AI in PolicingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642738(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642738
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Rayhan YHashem T(2023)AIST: An Interpretable Attention-Based Deep Learning Model for Crime PredictionACM Transactions on Spatial Algorithms and Systems10.1145/35822749:2(1-31)Online publication date: 12-Apr-2023
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Liang WCao JChen LWang YWu JBeheshti ATang J(2023)Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor DecompositionIEEE Transactions on Big Data10.1109/TBDATA.2023.32830989:5(1392-1407)Online publication date: Oct-2023
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Ahmadi ZNguyen HZhang ZBozhkov DKudenko DJofre MCalderoni FCohen NSolewicz Y(2023)Inductive and transductive link prediction for criminal network analysisJournal of Computational Science10.1016/j.jocs.2023.10206372(102063)Online publication date: Sep-2023
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Liang WWu ZLi ZGe Y(2022)CrimeTensor: Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal ConsistencyACM Transactions on Intelligent Systems and Technology10.1145/350180713:2(1-24)Online publication date: 25-Mar-2022
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