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A spatiotemporal calculus for reasoning about land-use trajectories / Adeline Marinho Maciel in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 176 - 192 Titre : A spatiotemporal calculus for reasoning about land-use trajectories Type de document : Article/Communication Auteurs : Adeline Marinho Maciel, Auteur ; Gilberto Camara, Auteur ; Lubia Vinhas, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 176 - 192 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Amazonie [Termes IGN] analyse diachronique [Termes IGN] analyse spatio-temporelle [Termes IGN] changement d'occupation du sol [Termes IGN] conversion [Termes IGN] déboisement [Termes IGN] détection de changement [Termes IGN] données maillées [Termes IGN] image Terra-MODIS [Termes IGN] Mato Grosso [Termes IGN] observation de la Terre [Termes IGN] R (langage) [Termes IGN] raisonnement spatiotemporel [Termes IGN] Relation d'Allen [Termes IGN] surveillance de la végétation [Termes IGN] temps instantané [Termes IGN] trace au sol Résumé : (auteur) Earth observation images are a powerful source of data about changes in our planet. Given the magnitude of global environmental changes taking place, it is important that Earth Science researchers have access to spatiotemporal reasoning tools. One area of particular interest is land-use change. Using data obtained from images, researchers would like to express abstractions such as ‘land abandonment’, ‘forest regrowth’, and ‘agricultural intensification’. These abstractions are specific types of land-use trajectories, defined as multi-year paths from one land cover into another. Given this need, this paper introduces a spatiotemporal calculus for reasoning about land-use trajectories. Using Allen’s interval logic as a basis, we introduce new predicates that express cases of recurrence, conversion and evolution in land-use change. The proposed predicates are sufficient and necessary to express different kinds of land-use trajectories. Users can build expressions that describe how humans modify Earth’s terrestrial surface. In this way, scientists can better understand the environmental and economic effects of land-use change. Numéro de notice : A2019-020 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1520235 Date de publication en ligne : 26/09/2018 En ligne : https://doi.org/10.1080/13658816.2018.1520235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91685 [article]

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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]