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SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas
nom du congrès :
SDH 1996, 7th International symposium on spatial data handling
début du congrès :
12/08/1996
fin du congrès :
16/08/1996
ville du congrès :
Delft
pays du congrès :
Pays-Bas
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Documents disponibles (11)
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contenu dans Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
Titre : An integrated database design for temporal GIS Type de document : Article/Communication Auteurs : Donna J. Peuquet, Auteur ; L. Qian, Auteur Editeur : Delhi, Washington, Delft... : International Geographical Union IGU Année de publication : 12/08/1996 Conférence : SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas Importance : 11 p. Note générale : Bibliographie 9 ref. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] base de données localisées
[Termes IGN] données spatiotemporelles
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] modèle orienté objet
[Termes IGN] modélisation spatiale
[Termes IGN] système d'information géographique
[Termes IGN] tempsRésumé : (Auteur) Current data representation techniques for GIS are geared toward representation of static situations. Although GIS are intended to provide a flexible and integrated tool for analyzing large volumes of data, representations historically used in GIS are derived from these cartographic traditions and are geared toward a similar static view. In this paper, we describe the TRIAD model for representing spatiotemporal data in a GIS context. This database model represents a completely integrated approach for handling such multidimensional data. The TRIAD model is also the basis of Tempest, a prototype GIS designed to support spatiotemporal queries and analysis. Numéro de notice : C1996-021 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65640
contenu dans Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
Titre : Building a multi-scale database with scale-transition relationships Type de document : Article/Communication Auteurs : Thomas Devogele , Auteur ; Jenny Trévisan, Auteur ; Laurent Raynal
Editeur : Delhi, Washington, Delft... : International Geographical Union IGU Année de publication : 12/08/1996 Conférence : SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas Importance : pp 6-19 - 6-33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] appariement de données localisées
[Termes IGN] base de données localisées
[Termes IGN] intégration de données
[Termes IGN] représentation multiple
[Termes IGN] réseau routierRésumé : (Auteur) Building multiple representations is one of the key problems in GIS. To tackle this problem, we have chosen to connect geographic data from mono-scale representations to build a multiscale database with scale-transition relationships. These scale-transition relationships connect two sets of elements (classes, types or objects) representing the same phenomenon of the real world and carry the sequence of multi-scale operations to navigate from one representation to another. From this concept, a process has been defined to build multi-scale databases, in three steps. The first step is dedicated to the declaration of correspondences and conflicts between input schemata by the means of scale-transition relationships. In the second step, conflicts are resolved and schemata are merged. Finally, the third step corresponds to data matching, with the help of geometric, topologic and semantic information. Scale-transition relationships between objects are created during this last step. To validate the process, a multi-scale database has been produced from two existing mono-scale sets of road network data. The first results of this kernel are satisfactory. Numéro de notice : C1996-040 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65659 Documents numériques
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Building a multi-scale database ... - pdf éditeurAdobe Acrobat PDFConceptual, spatial and temporal referencing of multimedia objects / Christopher B. Jones (12/08/1996)
contenu dans Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
Titre : Conceptual, spatial and temporal referencing of multimedia objects Type de document : Article/Communication Auteurs : Christopher B. Jones, Auteur ; C. Taylor, Auteur ; D. Tudhope, Auteur ; P. Beynon-Davies, Auteur Editeur : Delhi, Washington, Delft... : International Geographical Union IGU Année de publication : 12/08/1996 Conférence : SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas Importance : 12 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] données localisées
[Termes IGN] données spatiotemporelles
[Termes IGN] information géographique
[Termes IGN] information sémantique
[Termes IGN] modélisation
[Termes IGN] multimedia
[Termes IGN] proximité sémantique
[Termes IGN] requête spatiale
[Termes IGN] réseau sémantique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The increasing usage in GIS of multimedia objects, such as scanned photographs and video recordings, has introduced the need to provide flexible indexing methods to help in accessing objects that may be of relevance to a range of possible applications. An experimental system is described in which media objects may be referenced to several classifications concepts, as well as qualitative descriptions of geographic location and time period. Semantic modelling techniques are used to create semantic networks that represent the hierarchical and lattice structures of conceptual, temporal and geographic space. The associated query methods enable inexact matching between user interests and the media object descriptors. Several metrics of semantic closeness, in concept, time and geography have been developped, based on scaled measures of path lengths within the semantic networks that represent the three dimensions of indexing. Numéro de notice : C1996-022 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65641
contenu dans Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
Titre : Metrics and topologies for geographic space Type de document : Article/Communication Auteurs : Michael F. Worboys, Auteur Editeur : Delhi, Washington, Delft... : International Geographical Union IGU Année de publication : 12/08/1996 Conférence : SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas Importance : pp 7A-1 - 7A-11 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] espace euclidien
[Termes IGN] relation topologique
[Termes IGN] système d'information géographique
[Termes IGN] topologieRésumé : (Auteur) This paper is motivated by the requirement for computer-based representations of geospatial information that parallel the structure of geographic space that humans apprehend. It is well known that such representations do not satisfy the conditions of a metric space. We consider distance and proximity relationships between entities in geographic spaces, and discuss some of the ways in which useful representations take us beyond mathematical metric spaces. We show that even though the underlying space does not satisfy the conditions for a metric space, it is still possible to induce neighbourhood topologies upon it. Numéro de notice : C1996-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65660
contenu dans Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
Titre : Recognition of building clusters for generalization Type de document : Article/Communication Auteurs : Nicolas Regnauld Editeur : Delhi, Washington, Delft... : International Geographical Union IGU Année de publication : 12/08/1996 Conférence : SDH 1996, 7th International symposium on spatial data handling 12/08/1996 16/08/1996 Delft Pays-Bas Importance : pp 4B1 - 4B14 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale
[Termes IGN] cartographie automatique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] regroupement de données
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Generalizing buildings in dense areas aims at reducing the number of objects while preserving their relative positioning. For this task, operations such as aggregation or typification must be used. The first step to automate this task is the selection of a set of buildings and of the appropriate generalization operator. This firstly requires to automate the extraction of spatial relationships between buildings of a same area. The aim is to isolate the same building clusters as can be visually identified by looking at the map, so that they can be processed together. Analysing and comparing these clusters will provide the necessary information to decide which generalization operation is to be applied on each cluster. This paper presents a method to isolate such clusters. It is based on a criterion of regularity on the distances between neighbour buildings of a same cluster. Because this is not the sole criterion to influence the recognition of a cluster, a method to take other structure types into account will be studied. Information previously computed, such as alignments of buildings along roads, will be used. Finally, a way to store these clusters in the data base will be presented. Numéro de notice : C1996-038 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65657 Advances in GIS Research 2 : proceedings SDH'96, Volume 1. Proceedings of the 7th International symposium on spatial data handling SDH'96 / Menno-Jan Kraak (1996)
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