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An algebra for spatiotemporal data: From observations to events / Karine Reis Ferreira in Transactions in GIS, vol 18 n° 2 (April 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 2 (April 2014) . - pp 253 - 269 Titre : An algebra for spatiotemporal data: From observations to events Type de document : Article/Communication Auteurs : Karine Reis Ferreira, Auteur ; Gilberto Camara, Auteur ; Antônio Miguel V. Monteiro, Auteur Année de publication : 2014 Article en page(s) : pp 253 - 269 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] algèbre [Termes IGN] analyse spatio-temporelle [Termes IGN] base de données d'objets mobiles [Termes IGN] couverture (données géographiques) [Termes IGN] données spatiotemporelles [Termes IGN] modélisation [Termes IGN] risque naturel [Termes IGN] santé [Termes IGN] série temporelle [Termes IGN] service fondé sur la position [Termes IGN] surveillance écologique Résumé : (Auteur) Recent technological advances in geospatial data gathering have created massive data sets with better spatial and temporal resolution than ever before. These large spatiotemporal data sets have motivated a challenge for Geoinformatics: how to model changes and design good quality software. Many existing spatiotemporal data models represent how objects and fields evolve over time. However, to properly capture changes, it is also necessary to describe events. As a contribution to this research, this article presents an algebra for spatiotemporal data. Algebras give formal specifications at a high-level abstraction, independently of programming languages. This helps to develop reliable and expressive applications. Our algebra specifies three data types as generic abstractions built on real-world observations: time series, trajectory and coverage. Based on these abstractions, it defines object and event types. The proposed data types and functions can model and capture changes in a large range of applications, including location-based services, environmental monitoring, public health, and natural disasters. Numéro de notice : A2014-166 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12030 Date de publication en ligne : 22/05/2022 En ligne : https://doi.org/10.1111/tgis.12030 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33071 [article]