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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/439J8DB
Repositorysid.inpe.br/sibgrapi/2020/09.18.21.33
Last Update2020:09.18.21.33.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2020/09.18.21.33.39
Metadata Last Update2022:06.14.00.00.05 (UTC) administrator
DOI10.1109/SIBGRAPI51738.2020.00028
Citation KeyGarcia-ZanabriaGoSiPoNeAdNo:2020:ViToAn
TitleMirante: A visualization tool for analyzing urban crimes
FormatOn-line
Year2020
Access Date2024, Mar. 29
Number of Files1
Size7701 KiB
2. Context
Author1 Garcia-Zanabria, Germain
2 Gomez-Nieto, Erick
3 Silveira, Jaqueline Alvarenga
4 Poco, Jorge
5 Nery, Marcelo
6 Adorno, Sergio
7 Nonato, Luis G.
Affiliation1 Universidade de São Paulo
2 Universidade de São Paulo
3 Universidade de São Paulo
4 Fundação Getúlio Vargas
5 Universidade de São Paulo
6 Universidade de São Paulo
7 Universidade de São Paulo
EditorMusse, Soraia Raupp
Cesar Junior, Roberto Marcondes
Pelechano, Nuria
Wang, Zhangyang (Atlas)
e-Mail Addressgermaingarcia@usp.br
Conference NameConference on Graphics, Patterns and Images, 33 (SIBGRAPI)
Conference LocationPorto de Galinhas (virtual)
Date7-10 Nov. 2020
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2020-09-18 21:33:39 :: germaingarcia@usp.br -> administrator ::
2022-06-14 00:00:05 :: administrator -> germaingarcia@usp.br :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsCrime Mapping
Crime Data
Spatio-Temporal Data
Visual Analytics
AbstractVisualization 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 \emph{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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2020 > Mirante: A visualization...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Mirante: A visualization...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/439J8DB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/439J8DB
Languageen
Target File74.pdf
User Groupgermaingarcia@usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/43G4L9S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2020/10.28.20.46 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)germaingarcia@usp.br
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