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PerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis / Brian Swedberg in Geoinformatica, vol 21 n° 3 (July - September 2017)  

Public [article]  inGeoinformatica > vol 21 n° 3 (July - September 2017) . - pp 577 - 597 Titre : PerSE : visual analytics for calendar related spatiotemporal periodicity detection and analysis Type de document : Article/Communication Auteurs : Brian Swedberg, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2017 Article en page(s) : pp 577 - 597 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle [Termes IGN] application web [Termes IGN] calendrier [Termes IGN] démonstration de faisabilité [Termes IGN] dimension temporelle [Termes IGN] exploration de données géographiques [Termes IGN] filtrage d'information [Termes IGN] fréquence [Termes IGN] interactivité [Termes IGN] sciences humaines et sociales [Termes IGN] utilisateur [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Periodicity is embedded in all societies. As most of us organize our lives based on temporal structures, it is hard to imagine what life would be like without it. We experience periodicity through naturally occurring rhythms that exist in nature, such as sunrise/sunset, seasonal changes in the weather, and the tides. We also experience it through abstract means via cultural, political, religious ties, such as the weekend, Independence Day, and Ramadan. Forms of periodicity, like the examples above, are foundational to making sense of human activity because they provide contextual rationale and frame normaility. However, disparate calendars (e.g. Islamic vs. Gregorian), localized idiosyncrasies, and other variables greatly complicate the analytical ability to uncover and understand human activity at a given time within a specified region. We have developed PerSE (Periodicity in Spatiotemporal Events): a web application designed to aid users in the detection and analysis of calendar related periodicity in spatiotemporal event data sets via exploratory user interaction. PerSE is composed of several crossfiltering views: the Map, Attribute View, Time-Wheel, Timeline, and Table. Users interactively set and release filters on one or more of the views to detect and analyze calendar related periodicity. This paper illustrates the utility of PerSE through an in-depth description of the tool and proof of concept usage example. Numéro de notice : A2017-382 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0280-z En ligne : https://doi.org/10.1007/s10707-016-0280-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85813 [article]

An evaluation of a visual analytics prototype for calendar-related spatiotemporal periodicity detection and analysis / Brian Swedberg in Cartographica, vol 52 n° 1 (Spring 2017)  

Public [article]  inCartographica > vol 52 n° 1 (Spring 2017) . - pp 63 - 79 Titre : An evaluation of a visual analytics prototype for calendar-related spatiotemporal periodicity detection and analysis Type de document : Article/Communication Auteurs : Brian Swedberg, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2017 Article en page(s) : pp 63 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] analyse spatio-temporelle [Termes IGN] application web [Termes IGN] calendrier [Termes IGN] convivialité [Termes IGN] échelle de temps [Termes IGN] échelle géographique [Termes IGN] prototype [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Whether it is sunrise, the weekend, or Christmas, some form of temporal structure or periodic pattern governs our daily activities. Understanding them is essential to making sense of human activity, because they frame normality and allow us to identify abnormalities. However, cultural heterogeneity and scale greatly complicate our ability to uncover and understand human activity at a given time within a region. Current research in the field of visual analytics and geography provide methods of addressing spatiotemporal periodicity, but they fall short in providing access to multiple spatial and temporal scales via a relevant calendar. In response to these shortcomings, we developed PerSE (periodicity in spatiotemporal events), a coordinated-view Web application designed to aid users in the detection and analysis of calendar-related periodicity in spatiotemporal event data sets. Given the complexity of such a visualization tool, this paper focuses on the usability and learnability of PerSE. We evaluated the tool through a 20-participant study that consisted of training, a multiple-choice test, and the System Usability Scale. Our analysis of the results shows that the complex combination of visual tools and multi-scale, multi-calendar capability used within PerSE is effective, but still in need of usability improvements. Numéro de notice : A2017-138 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.1.3820 En ligne : http://dx.doi.org/10.3138/cart.52.1.3820 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84608 [article]

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