A Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety
| Autor: | Julio Suarez-Paez, Carlos E. Palau, Manuel Esteve, Jon Ander Gómez, Mayra L. Salcedo-González |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Agility and efficiency improvement
Engineering Situation awareness Geography Planning and Development lcsh:G1-922 Command and Control Systems (C2S) 02 engineering and technology Commission Smart city Situation understanding 0202 electrical engineering electronic engineering information engineering Earth and Planetary Sciences (miscellaneous) Command and control Telematics Computers in Earth Sciences business.industry 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos seguros resilientes y sostenibles Crime mobility 020207 software engineering Safe city INGENIERIA TELEMATICA 16. Peace & justice Visualization Situational awareness Engineering management 16.- Promover sociedades pacíficas e inclusivas para el desarrollo sostenible facilitar acceso a la justicia para todos y crear instituciones eficaces responsables e inclusivas a todos los niveles Dynamic data geo-visualization Work (electrical) Data Applied 020201 artificial intelligence & image processing Decision making improvement Command and Control Information System (C2IS) business LENGUAJES Y SISTEMAS INFORMATICOS lcsh:Geography (General) |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname ISPRS International Journal of Geo-Information Volume 9 Issue 3 ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 160 (2020) |
| DOI: | 10.3390/ijgi9030160 |
| Popis: | [EN] 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. This work was co-funded by the European Commission as part of H2020 call SEC-12-FCT-2016-thrtopic3 under the project VICTORIA (No. 740754). This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. The authors would like to thank Colombian National Police and its Office of Telematics for their support on development of this project. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|