| Full text | |
| Author(s): |
Garcia-Zanabria, Germain
;
Gomez-Nieto, Erick
;
Silveira, Jaqueline
;
Poco, Jorge
;
Nery, Marcelo
;
Adorno, Sergio
;
Nonato, Luis G.
;
IEEE
Total Authors: 8
|
| Document type: | Journal article |
| Source: | 2020 33RD SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2020); v. N/A, p. 8-pg., 2020-01-01. |
| Abstract | |
Visualization assisted crime analysis tools used by public security agencies are usually designed to explore large urban areas, relying on grid-based heatmaps to reveal spatial crime distribution in whole districts, regions, and neighborhoods. Therefore, those tools can hardly identify micro-scale patterns closely related to crime opportunity, whose understanding is fundamental to the planning of preventive actions. Enabling a combined analysis of spatial patterns and their evolution over time is another challenge faced by most crime analysis tools. In this paper, we present Mirante, a crime mapping visualization system that allows spatiotemporal analysis of crime patterns in a street-level scale. In contrast to conventional tools, Mirante builds upon street-level heatmaps and other visualization resources that enable spatial and temporal pattern analysis, uncovering fine-scale crime hotspots, seasonality, and dynamics over time. Mirante has been developed in close collaboration with domain experts, following rigid requirements as scalability and versatile to be implemented in large and medium-sized cities. We demonstrate the usefulness of Mirante throughout case studies run by domain experts using real data sets from cities with different characteristics. With the help of Mirante, the experts were capable of diagnosing how crime evolves in specific regions of the cities while still being able to raise hypotheses about why certain types of crime show up. (AU) | |
| FAPESP's process: | 17/05416-1 - Visual Analytics of Machine Learning Methods: a practical essay from crime data in São Paulo |
| Grantee: | Germain García Zanabria |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| FAPESP's process: | 19/04434-1 - Analysis of Crime Patterns in São Paulo City |
| Grantee: | Germain García Zanabria |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |
| FAPESP's process: | 19/10560-0 - Visual Analysis and Engineering of Urban Features for Crime Prediction in São Paulo City |
| Grantee: | Erick Mauricio Gómez Nieto |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |