A Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety

This article shows a novel geo-visualization method of dynamic spatiotemporal data that allows mobility and concentration of criminal activity to be study. The method was developed using, only and significantly, real data of Santiago de Cali (Colombia), collected by the Colombian National Police (PO...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2020-03, Vol.9 (3), p.160
Main Authors: Salcedo-Gonzalez, Mayra, Suarez-Paez, Julio, Esteve, Manuel, Gómez, Jon Ander, Palau, Carlos Enrique
Format: Article
Language:English
Subjects:
agility and efficiency improvement
Command and control
command and control information system (c2is)
command and control systems (c2s)
Computer programs
Control
Control centres
Control systems
Crime
crime mobility
Criminal investigations
Criminology
Data
Decision making
decision making improvement
Dicalcium silicate
dynamic data geo-visualization
Information sources
Information systems
Law enforcement
Methods
Objectives
Open source software
Police
Public safety
Resource management
safe city
situation understanding
Situational awareness
Smart cities
smart city
Software
Traffic congestion
Visualization
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Summary:This article shows a novel geo-visualization method of dynamic spatiotemporal data that allows mobility and concentration of criminal activity to be study. The method was developed using, only and significantly, real data of Santiago de Cali (Colombia), collected by the Colombian National Police (PONAL). This method constitutes a tool that allows criminal influx to be analyzed by concentration, zone, time slot and date. In addition to the field experience of police commanders, it allows patterns of criminal activity to be detected, thereby enabling a better distribution and management of police resources allocated to crime deterrence, prevention and control. Additionally, it may be applied to the concepts of safe city and smart city of the PONAL within the architecture of Command and Control System (C2S) of Command and Control Centers for Public Safety. Furthermore, it contributes to a better situational awareness and improves the future projection, agility, efficiency and decision-making processes of police officers, which are all essential for fulfillment of police missions against crime. Finally, this was developed using an open source software, it can be adapted to any other city, be used with real-time data and be implemented, if necessary, with the geographic software of any other C2S.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi9030160