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Auteur Elena Camossi |
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Visual exploration of movement and event data with interactive time masks / Natalia Andrienko in Visual Informatics, vol 1 n° 1 (March 2017)
[article]
Titre : Visual exploration of movement and event data with interactive time masks Type de document : Article/Communication Auteurs : Natalia Andrienko, Auteur ; Gennady Andrienko, Auteur ; Elena Camossi, Auteur ; Christophe Claramunt, Auteur ; Jose Manuel Cordero Garcia, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 25 - 39 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données spatiotemporelles
[Termes IGN] objet mobile
[Termes IGN] programme interactif
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) We introduce the concept of time mask, which is a type of temporal filter suitable for selection of multiple disjoint time intervals in which some query conditions fulfil. Such a filter can be applied to time-referenced objects, such as events and trajectories, for selecting those objects or segments of trajectories that fit in one of the selected time intervals. The selected subsets of objects or segments are dynamically summarized in various ways, and the summaries are represented visually on maps and/or other displays to enable exploration. The time mask filtering can be especially helpful in analysis of disparate data (e.g., event records, positions of moving objects, and time series of measurements), which may come from different sources. To detect relationships between such data, the analyst may set query conditions on the basis of one dataset and investigate the subsets of objects and values in the other datasets that co-occurred in time with these conditions. We describe the desired features of an interactive tool for time mask filtering and present a possible implementation of such a tool. By example of analysing two real world data collections related to aviation and maritime traffic, we show the way of using time masks in combination with other types of filters and demonstrate the utility of the time mask filtering. Numéro de notice : A2017-855 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.visinf.2017.01.004 Date de publication en ligne : 22/03/2017 En ligne : https://doi.org/10.1016/j.visinf.2017.01.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89749
in Visual Informatics > vol 1 n° 1 (March 2017) . - pp 25 - 39[article]A multiangular object-oriented framework supporting spatio-temporal granularity conversions / Elena Camossi in International journal of geographical information science IJGIS, vol 20 n° 5 (may 2006)
[article]
Titre : A multiangular object-oriented framework supporting spatio-temporal granularity conversions Type de document : Article/Communication Auteurs : Elena Camossi, Auteur ; Michela Bertolotto, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 511 - 534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] dimension temporelle
[Termes IGN] données 4D
[Termes IGN] données spatiotemporelles
[Termes IGN] granularité (informatique)
[Termes IGN] granularité d'image
[Termes IGN] modèle orienté objet
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Several application domains require handling spatio-temporal data. However, traditional Geographic Information Systems (GIS) and database models do not adequately support temporal aspects of spatial data. A crucial issue relates to the choice of the appropriate granularity. Unfortunately, while a formalisation of the concept of temporal granularity has been proposed and widely adopted, no consensus exists on the notion of spatial granularity. In this paper, we address these open problems, by proposing a formal definition of spatial granularity and by designing a spatio-temporal framework for the management of spatial and temporal information at different granularities. We present a spatio-temporal extension of the ODMG type system with specific types for defining multi-granular spatio-temporal properties. Granularity conversion functions are introduced to obtain attributes values at different spatial and temporal granularities. Numéro de notice : A2006-174 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600607451 En ligne : https://doi.org/10.1080/13658810600607451 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27901
in International journal of geographical information science IJGIS > vol 20 n° 5 (may 2006) . - pp 511 - 534[article]Exemplaires(2)
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