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A hybrid data model for dynamic GIS: application to marine geomorphological dynamics / Younes Hamdani in International journal of geographical information science IJGIS, vol 35 n° 8 (August 2021)
Titre : A hybrid data model for dynamic GIS: application to marine geomorphological dynamics Type de document : Article/Communication Auteurs : Younes Hamdani, Auteur ; Rémy Thibaud, Auteur ; Christophe Claramunt, Auteur Année de publication : 2021 Article en page(s) : pp 1475 - 1499 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] base de données spatiotemporelles
[Termes IGN] érosion
[Termes IGN] interface utilisateur
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] modèle dynamique
[Termes IGN] PostGIS
[Termes IGN] PostgreSQL
[Termes IGN] relief sous-marin
[Termes IGN] SIG dynamiqueRésumé : (auteur) The search for the most appropriate GIS data model to integrate, manipulate and analyse spatio-temporal data raises several research questions about the conceptualisation of geographic spaces. Although there is now a general consensus that many environmental phenomena require field and object conceptualisations to provide a comprehensive GIS representation, there is still a need for better integration of these dual representations of space within a formal spatio-temporal database. The research presented in this paper introduces a hybrid and formal dual data model for the representation of spatio-temporal data. The whole approach has been fully implemented in PostgreSQL and its spatial extension PostGIS, where the SQL language is extended by a series of data type constructions and manipulation functions to support hybrid queries. The potential of the approach is illustrated by an application to underwater geomorphological dynamics oriented towards the monitoring of the evolution of seabed changes. A series of performance and scalability experiments are also reported to demonstrate the computational performance of the model. Numéro de notice : A2021-547 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1829628 Date de publication en ligne : 12/10/2020 En ligne : https://doi.org/10.1080/13658816.2020.1829628 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98059
in International journal of geographical information science IJGIS > vol 35 n° 8 (August 2021) . - pp 1475 - 1499[article]
Titre : Pyramidal framework: guidance for the next generation of GIS spatial-temporal models Type de document : Article/Communication Auteurs : Cyril Carré, Auteur ; Younes Hamdani, Auteur Année de publication : 2021 Article en page(s) : n° 188 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] cadre conceptuel
[Termes IGN] données spatiotemporelles
[Termes IGN] événement
[Termes IGN] modèle conceptuel de données spatio-temporelles
[Termes IGN] point de vue
[Termes IGN] prise en compte du contexte
[Termes IGN] SIG dynamiqueRésumé : (auteur) Over the last decade, innovative computer technologies and the multiplication of geospatial data acquisition solutions have transformed the geographic information systems (GIS) landscape and opened up new opportunities to close the gap between GIS and the dynamics of geographic phenomena. There is a demand to further develop spatio-temporal conceptual models to comprehensively represent the nature of the evolution of geographic objects. The latter involves a set of considerations like those related to managing changes and object identities, modeling possible causal relations, and integrating multiple interpretations. While conventional literature generally presents these concepts separately and rarely approaches them from a holistic perspective, they are in fact interrelated. Therefore, we believe that the semantics of modeling would be improved by considering these concepts jointly. In this work, we propose to represent these interrelationships in the form of a hierarchical pyramidal framework and to further explore this set of concepts. The objective of this framework is to provide a guideline to orient the design of future generations of GIS data models, enabling them to achieve a better representation of available spatio-temporal data. In addition, this framework aims at providing keys for a new interpretation and classification of spatio-temporal conceptual models. This work can be beneficial for researchers, students, and developers interested in advanced spatio-temporal modeling. Numéro de notice : A2021-315 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/ijgi10030188 Date de publication en ligne : 22/03/2021 En ligne : https://doi.org/10.3390/ijgi10030188 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97891
in ISPRS International journal of geo-information > vol 10 n° 3 (March 2021) . - n° 188[article]
Titre : Relative space-based GIS data model to analyze the group dynamics of moving objects Type de document : Article/Communication Auteurs : Mingxiang Feng, Auteur ; Shih-Lung Shaw, Auteur ; Zhixiang Fang, Auteur ; Hao Cheng, Auteur Année de publication : 2019 Article en page(s) : pp 74 - 95 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données d'objets mobiles
[Termes IGN] base de données orientée objet
[Termes IGN] modèle conceptuel de données
[Termes IGN] objet mobile
[Termes IGN] reconstruction d'itinéraire ou de trajectoire
[Termes IGN] SIG dynamique
[Termes IGN] UMLRésumé : (Auteur) The relative motion of moving objects is an essential research topic in geographical information science (GIScience), which supports the innovation of geodatabases, spatial indexing, and geospatial services. This analysis is very popular in the domains of urban governance, transportation engineering, logistics and geospatial information services for individuals or industrials. Importantly, data models of moving objects are one of the most crucial approaches to support the analysis for dynamic relative motion between moving objects, even in the age of big data and cloud computing. Traditional geographic information systems (GIS) usually organize moving objects as point objects in absolute coordinated space. The derivation of relative motions among moving objects is not efficient because of the additional geo-computation of transformation between absolute space and relative space. Therefore, current GISs require an innovative approach to directly store, analyze and interpret the relative relationships of moving objects to support their efficient analysis. This paper proposes a relative space-based GIS data model of moving objects (RSMO) to construct, operate and analyze moving objects’ relationships and introduces two algorithms (relationship querying and relative relationship dynamic pattern matching) to derive and analyze the dynamic relationships of moving objects. Three scenarios (epidemic spreading, tracker finding, and motion-trend derivation of nearby crowds) are implemented to demonstrate the feasibility of the proposed model. The experimental results indicates the execution times of the proposed model are approximately 5–50% those of the absolute GIS method for the same function of these three scenarios. It’s better computational performance of the proposed model when analyzing the relative relationships of moving objects than the absolute methods in a famous commercial GIS software based on this experimental results. The proposed approach fills the gap of traditional GIS and shows promise for relative space-based geo-computation, analysis and service. Numéro de notice : A2019-261 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.05.002 Date de publication en ligne : 15/05/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.05.002 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93074
in ISPRS Journal of photogrammetry and remote sensing > vol 153 (July 2019) . - pp 74 - 95[article]Exemplaires(3)
Code-barres Cote Support Localisation Section Disponibilité 081-2019071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2019073 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2019072 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt
Titre : vol 13 supplement s1 - June 2009 Type de document : Périodique Auteurs : J.P. Wilson, Éditeur scientifique ; A. Stewart Fotheringham, Éditeur scientifique ; G. Hunter, Éditeur scientifique Année de publication : 2009 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] géopositionnement
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] langage naturel (informatique)
[Termes IGN] positionnement par GPS
[Termes IGN] positionnement par WiFi
[Termes IGN] SIG dynamique
[Termes IGN] télécommunication spatiale
[Termes IGN] télémétrie laser sur satelliteNuméro de notice : 040-0903 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://onlinelibrary.wiley.com/doi/10.1111/tgis.2009.13.issue-s1/issuetoc Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=13295 [n° ou bulletin]
Titre : Evolution of clusters in dynamic point patterns: with a case study of ants' simulation Type de document : Article/Communication Auteurs : Maxim Shoshany, Auteur ; A. Even-Paz, Auteur ; Shlomo Bekhor, Auteur Année de publication : 2007 Article en page(s) : pp 777 - 797 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] Insecta
[Termes IGN] programmation linéaire
[Termes IGN] regroupement de points
[Termes IGN] SIG dynamique
[Termes IGN] simulationRésumé : (Auteur) Recent developments in sensing and tracking technologies have enabled large geographical databases to be established that represent spatial dynamics of 'behavioral entities'. Within this type of dynamics there are several levels and modes of organization that need to be revealed. Clusters are high-level groupings of entities, where change in their location and form, including split and merge events, represents self-organization and functioning patterns. Such information may contribute for better understanding spatially complex dynamic patterns. The main objective of this article is to develop an adaptable methodology that facilitates exploration of spatial order and processes in point pattern dynamics. The approach presented here utilizes data-clustering at each snapshot of the moving pattern, and then involves pairwise linking between the clusters identified at each snapshot and those identified in the following snapshot. Such linking is based on a new methodology that defines well globally optimized solutions for numerous possible linking combinations based on Linear Programming. A preliminary assessment of the approach was conducted with an existing Ants' simulation tool, capable of creating data sets covering in detail a substantial portion of the nest's life cycle. Copyright Taylor & Francis Numéro de notice : A2007-271 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810601169881 En ligne : https://doi.org/10.1080/13658810601169881 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28634
in International journal of geographical information science IJGIS > vol 21 n° 6-7 (july 2007) . - pp 777 - 797[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07041 RAB Revue Centre de documentation En réserve L003 Disponible 079-07042 RAB Revue Centre de documentation En réserve L003 Disponible PermalinkThe 4th workshop on dynamic and multidimensional GIS, Pontypridd, Wales, UK, 5 - 8 September 2005 / Christopher Gold (2005)
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