A hybrid temporal gis representation for coastal dynamics

Autor: Younes Hamdani, Christophe Claramunt, Rémy Thibaud
Přispěvatelé: Institut de Recherche de l'Ecole Navale (IRENAV), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019
27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019, Nov 2019, Chicago, United States. pp.584-587, ⟨10.1145/3347146.3359357⟩
SIGSPATIAL/GIS
DOI: 10.1145/3347146.3359357⟩
Popis: International audience; The experimental research developed in this paper introduces a hybrid temporal GIS representation for studying the dynamics of a coastal seabed. The approach is based on a dual temporal GIS data model that combines the object and field views of space. The first concept is the one of an object-field defined as a field in which each location is associated to one or more geographic objects type. The second key concept is the field-object defined as an object with internal heterogeneity conceptualized as a field. The main idea behind this approach is to provide a flexible representation that supports field and object evolutions. A series of spatio-temporal queries have been categorized and specified on top of the hybrid representation and shows the interest of the combination of the field and object abstractions at the data manipulation level. The approach has been applied to a coastal data environment, and implemented within the PostgreSQL RDBMS and its spatial extension PostGIS.
Databáze: OpenAIRE