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Evaluating interactive comparison techniques in a multiclass density map for visual crime analytics / Lukas Svicarovic (2021)  

Public Titre : Evaluating interactive comparison techniques in a multiclass density map for visual crime analytics Type de document : Article/Communication Auteurs : Lukas Svicarovic, Auteur ; Denis Parra, Auteur ; María-Jesús Lobo , Auteur Editeur : Genève : Eurographics Association Année de publication : 2021 Projets : 3-projet - voir note / Conférence : EuroVis 2021, 23rd edition of EG conference on visualisation 14/06/2021 18/06/2021 Zurich online Suisse OA short papers Proceedings Importance : pp 79 - 83 Note générale : bibliographie This work was funded by ANID - Millennium Science Initiative Program - Code ICN17_002 and by ANID, FONDECYT grant 1191791. Langues : Français (fre) Descripteur : [Termes IGN] analyse comparative [Termes IGN] analyse géovisuelle [Termes IGN] données localisées [Termes IGN] figuration de la densité [Termes IGN] infraction [Termes IGN] lentille magique [Termes IGN] superposition de données [Vedettes matières IGN] Géovisualisation Mots-clés libres : multiclass density map Résumé : (auteur) Techniques for presenting objects spatially via density maps have been thoroughly studied, but there is lack of research on how to display this information in the presence of several classes, i.e., multiclass density maps. Moreover, there is even less research on how to design an interactive visualization for comparison tasks on multiclass density maps. One application domain which requires this type of visualization for comparison tasks is crime analytics, and the lack of research in this area results in ineffective visual designs. To fill this gap, we study four types of techniques to compare multiclass density maps, using car theft data. The interactive techniques studied are swipe, translucent overlay, magic lens, and juxtaposition. The results of a user study (N=32) indicate that juxtaposition yields the worst performance to compare distributions, whereas swipe and magic lens perform the best in terms of time needed to complete the experiment. Our research provides empirical evidence on how to design interactive idioms for multiclass density spatial data, and it opens a line of research for other domains and visual tasks. Numéro de notice : C2021-072 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.2312/evs.20211059 En ligne : https://doi.org/10.2312/evs.20211059 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99427