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Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps / Xiongfeng Yan in International journal of geographical information science IJGIS, vol 35 n° 3 (March 2021)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 35 n° 3 (March 2021) . - pp 490 - 512 Titre : Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps Type de document : Article/Communication Auteurs : Xiongfeng Yan, Auteur ; Tinghua Ai, Auteur ; Min Yang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 490 - 512 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] apprentissage non-dirigé [Termes IGN] apprentissage profond [Termes IGN] codage [Termes IGN] données vectorielles [Termes IGN] graphe [Termes IGN] mesure géométrique [Termes IGN] modélisation du bâti [Termes IGN] représentation cognitive [Termes IGN] représentation spatiale Résumé : (auteur) The shape of a geospatial object is an important characteristic and a significant factor in spatial cognition. Existing shape representation methods for vector-structured objects in the map space are mainly based on geometric and statistical measures. Considering that shape is complicated and cognitively related, this study develops a learning strategy to combine multiple features extracted from its boundary and obtain a reasonable shape representation. Taking building data as example, this study first models the shape of a building using a graph structure and extracts multiple features for each vertex based on the local and regional structures. A graph convolutional autoencoder (GCAE) model comprising graph convolution and autoencoder architecture is proposed to analyze the modeled graph and realize shape coding through unsupervised learning. Experiments show that the GCAE model can produce a cognitively compliant shape coding, with the ability to distinguish different shapes. It outperforms existing methods in terms of similarity measurements. Furthermore, the shape coding is experimentally proven to be effective in representing the local and global characteristics of building shape in application scenarios such as shape retrieval and matching. Numéro de notice : A2021-166 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1768260 date de publication en ligne : 25/05/2020 En ligne : https://doi.org/10.1080/13658816.2020.1768260 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97100 [article]

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A proposal for modeling indoor–outdoor spaces through indoorGML, open location code and OpenStreetMap / Ruben Cantarero Navarro in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 3 (March 2020) . - 21 p. Titre : A proposal for modeling indoor–outdoor spaces through indoorGML, open location code and OpenStreetMap Type de document : Article/Communication Auteurs : Ruben Cantarero Navarro, Auteur ; Ana Rubio Ruiz, Auteur ; Javier Dorado Chaparro, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 21 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] CityGML [Termes IGN] données hétérogènes [Termes IGN] format Industry foudation classes IFC [Termes IGN] indoorGML [Termes IGN] internet des objets [Termes IGN] modélisation 3D [Termes IGN] OpenStreetMap [Termes IGN] positionnement en intérieur [Termes IGN] représentation spatiale [Termes IGN] ville intelligente [Termes IGN] WiFi Résumé : (auteur) Traditionally, the standards of spatial modeling are oriented to represent the quantitative information of space. However, in recent years an increasingly common challenge is appearing: flexibly and appropriately integrating quantitative information that goes beyond the purely geometric. This problem has been aggravated due to the success of new paradigms such as the Internet of Things. This adds an additional challenge to the representation of this information due to the need to represent characteristic information of the space from different points of view in a model, such as WiFi coverage, dangerous surroundings, etc. While this problem has already been addressed in indoor spaces with the IndoorGML standard, it remains to be solved in outdoor and indoor–outdoor spaces. We propose to take the advantages proposed in IndoorGML, such as cellular space or multi-layered space model representation, to outdoor spaces in order to create indoor–outdoor models that enable the integration of heterogeneous information that represents different aspects of space. We also propose an approach that gives more flexibility in spatial representation through the integration of standards such as OpenLocationCode for the division of space. Further, we suggest a procedure to enrich the resulting model through the information available in OpenStreetMap. Numéro de notice : A2020-257 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9030169 date de publication en ligne : 12/03/2020 En ligne : https://doi.org/10.3390/ijgi9030169 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95013 [article]

Composition of place: towards a compositional view of functional space / Emmanuel Papadakis in Cartography and Geographic Information Science, Vol 47 n° 1 (January 2020)  

Public [article]  inCartography and Geographic Information Science > Vol 47 n° 1 (January 2020) . - pp 28 - 45 Titre : Composition of place: towards a compositional view of functional space Type de document : Article/Communication Auteurs : Emmanuel Papadakis, Auteur ; Bernd Resch, Auteur ; Thomas Blaschke, Auteur Année de publication : 2020 Article en page(s) : pp 28 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] approche holistique [Termes IGN] enrichissement sémantique [Termes IGN] information géographique [Termes IGN] interaction humain-espace [Termes IGN] modélisation spatiale [Termes IGN] organisation spatiale [Termes IGN] représentation spatiale [Termes IGN] système d'information géographique Résumé : (Auteur) A long-standing question in GIScience is whether geographic information systems (GIS) facilitates an adequate quantifiable representation of the concept of place. Considering the difficulties of quantifying elusive concepts related to place, several researchers focus on more tangible dimensions of the human understanding of place. The most common approaches are semantic enrichment of spatial information and holistic conceptualization of the notion of place. However, these approaches give emphasis on either space or human meaning, or they mainly exist as concepts without practically proven usable artifacts. A partial answer to this problem was proposed by the function-based model that treats place as functional space. This paper focuses primarily on the level of composition, describing and formalizing it as a rule-based framework with the following objectives: (a) contribute to the formalization efforts of the notion of place and its integration within GIS and (b) maintain tangible properties intertwined with the human understanding of place. The operationalization potential of the proposed framework is illustrated with an example of identifying the shopping areas in an urban region. The results show that the proposed model is able to capture all shopping malls as well as other areas that are not explicitly labeled as such but still function similarly to a shopping mall. Numéro de notice : A2020-006 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2019.1598894 date de publication en ligne : 06/06/2019 En ligne : https://doi.org/10.1080/15230406.2019.1598894 Format de la ressource électronique : URL Sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94343 [article]

A space-time varying graph for modelling places and events in a network / Ikechukwu Maduako in International journal of geographical information science IJGIS, vol 33 n° 10 (October 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 10 (October 2019) . - pp 1915 - 1935 Titre : A space-time varying graph for modelling places and events in a network Type de document : Article/Communication Auteurs : Ikechukwu Maduako, Auteur ; Monica Wachowicz, Auteur Année de publication : 2019 Article en page(s) : pp 1915 - 1935 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accident de la route [Termes IGN] analyse des risques [Termes IGN] analyse spatio-temporelle [Termes IGN] connexité (graphes) [Termes IGN] graphe [Termes IGN] relation topologique [Termes IGN] représentation spatiale [Termes IGN] réseau routier [Termes IGN] système d'information géographique [Termes IGN] voisinage (topologie) Résumé : (auteur) Modelling topological relationships between places and events is challenging especially because these relationships are dynamic, and their evolutionary analysis relies on the explanatory power of representing their interactions across different temporal resolutions. In this paper, we introduce the Space-Time Varying Graph (STVG) based on the whole graph approach that combines directed and bipartite subgraphs with a time-tree for representing the complex interaction between places and events across time. We demonstrate how the proposed STVG can be exploited to identify and extract evolutionary patterns of traffic accidents using graph metrics, ad-hoc graph queries and clustering algorithms. The results reveal evolutionary patterns that uncover the places with high incidence of accidents over different time resolutions, reveal the main reasons why the traffic accidents have occurred, and disclose evolving communities of densely connected traffic accidents over time. Numéro de notice : A2019-393 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1603386 date de publication en ligne : 17/04/2019 En ligne : https://doi.org/10.1080/13658816.2019.1603386 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93497 [article]

The future of Geographic Information Displays from GIScience, cartographic, and cognitive science perspectives / Tyler Thrash (2019)  

Public contenu dans COSIT 2019, 14th International Conference on Spatial Information Theory, September 9-13, 2019, Regensburg, Germany / Sabine Timpf (2019)   Titre : The future of Geographic Information Displays from GIScience, cartographic, and cognitive science perspectives Type de document : Article/Communication Auteurs : Tyler Thrash, Auteur ; Sara Irina Fabrikant, Auteur ; et al., Auteur Editeur : Leibniz [Allemagne] : Schloss Dagstuhl – Leibniz-Zentrum für Informatik Année de publication : 2019 Collection : LIPIcs Leibniz International Proceedings in Informatics, ISSN 1868-8969 num. Vol. 142 Conférence : COSIT 2019, 14th International Conference on Spatial Information Theory 09/09/2019 13/09/2019 Regensburg Allemagne Open Access Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage (cognition) [Termes IGN] cognition [Termes IGN] représentation spatiale [Vedettes matières IGN] Géovisualisation Résumé : (auteur) With the development of modern geovisual analytics tools, several researchers have emphasized the importance of understanding users' cognitive, perceptual, and affective tendencies for supporting spatial decisions with geographic information displays (GIDs). However, most recent technological developments have focused on support for navigation in terms of efficiency and effectiveness while neglecting the importance of spatial learning. In the present paper, we will envision the future of GIDs that also support spatial learning in the context of large-scale navigation. Specifically, we will illustrate the manner in which GIDs have been (in the past) and might be (in the future) designed to be context-responsive, personalized, and supportive for active spatial learning from three different perspectives (i.e., GIScience, cartography, and cognitive science). We will also explain why this approach is essential for preventing the technological infantilizing of society (i.e., the reduction of our capacity to make decisions without technological assistance). Although these issues are common to nearly all emerging digital technologies, we argue that these issues become especially relevant in consideration of a person's current and future locations. Numéro de notice : A2019-647 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : 10.4230/LIPIcs.COSIT.2019.19 En ligne : https://doi.org/10.4230/LIPIcs.COSIT.2019.19 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96910

Formal representation of qualitative direction / Christian Freksa in International journal of geographical information science IJGIS, vol 32 n° 11-12 (November - December 2018)  

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The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men / Arzu Çöltekin in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)  

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Template-based GIS computation : a geometric algebra approach / Wen Luo in International journal of geographical information science IJGIS, vol 31 n° 9-10 (September - October 2017)  

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Information géographique et planification énergétique territoriale à Genève : Vers un système de connaissances partagées / Catherine Lavallez in Revue internationale de géomatique, vol 27 n° 1 (janvier - mars 2017)  

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Variation du niveau d’abstraction dans le cadre de l’opérateur de zoom sémantique / Géraldine Del Mondo in Revue internationale de géomatique, vol 25 n° 2 (juin - août 2015)  

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Adaptive relative motion representation of space–time trajectories / Antoni B. Moore in Cartographic journal (the), Vol 52 n° 2 (May 2015)  

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vol 25 n° 1 - mars - mai 2015 - Traitement de l'information et prospective (Bulletin de Revue internationale de géomatique) / Françoise Gourmelon  

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Les représentations spatiales des enfants : Recherche comparative (France et Pologne) / Katarzyna Bogacz in Cartes & Géomatique, n° 217 (septembre 2013)

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Vers des représentations plus efficaces / Françoise de Blomac in DécryptaGéo le mag, n° 149 (01/09/2013)

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Un SIG collaboratif pour la recherche historique : Conception d'un atlas historique numérique et d'une plateforme de travail collaborative à partir de méthode SyMoGIH. Partie 1, naissance et conception d'un système d'information géo-historique collaboratif / Charlotte Butez in Géomatique expert, n° 91 (01/03/2013)

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