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AlpineBends – A benchmark for deep learning-based generalisation / Azelle Courtial (2022)  

Public Titre : AlpineBends – A benchmark for deep learning-based generalisation Type de document : Article/Communication Auteurs : Azelle Courtial , Auteur ; Guillaume Touya , Auteur ; Xiang Zhang, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2022 Collection : Abstracts of the ICA num. 4 Projets : 1-Pas de projet / Conférence : ICA 2021, 24th ICA Workshop on Map Generalisation and Multiple Representation 13/12/2021 13/12/2021 Florence Italie OA Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage profond [Termes IGN] données maillées [Termes IGN] objet géographique [Termes IGN] test de performance [Vedettes matières IGN] Généralisation Résumé : (auteur) [début] Raster-based map generalization is nowadays anecdotal, as most generalization operations are performed using vector data. Vectors describe the shape of each object in the map using a set of coordinates; thus, the object delimitation is directly accessible, and the topology and distance-based relations are easy to compute. On the contrary, rasters represent a map as an image, a grid of pixel covers the target area, and each pixel is characterised by a value. This representation does not explicitly model the boundary/shape of geographic objects and the relations between them. However, the emergence of the image-based deep learning techniques has shown an ability to process images of geographic information. The question of their adaptation for map generalization is a trendy subject: road (Courtial et al. 2020), building (Feng et al. 2019) and coastline (Du et al. 2021) generalization have been explored in recent years. Common methods for evaluating these techniques seems to be necessary for the comparison and development of this field. Numéro de notice : C2021-067 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-4-1-2022 Date de publication en ligne : 14/01/2022 En ligne : https://doi.org/10.5194/ica-abs-4-1-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99535

BasqueRoads: a benchmark for road network selection / Guillaume Touya (2022)  

Public Titre : BasqueRoads: a benchmark for road network selection Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Azelle Courtial , Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2022 Collection : Abstracts of the ICA num. 4 Projets : LostInZoom / Touya, Guillaume Conférence : ICA 2021, 24th ICA Workshop on Map Generalisation and Multiple Representation 13/12/2021 13/12/2021 Florence Italie OA Proceedings Note générale : bibliographie This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101003012). Langues : Anglais (eng) Descripteur : [Termes IGN] objet géographique [Termes IGN] réseau routier [Termes IGN] simplification de contour [Termes IGN] test de performance [Vedettes matières IGN] Généralisation Résumé : (auteur) [début] Road network selection is one of the major issues of map generalisation, as new papers are proposed every year since the first attempts of automation in the 1990’s (Thomson & Richardson, 1995). New methods are regularly proposed because selecting roads for maps at smaller scales is a complex problem. Roads are at the same time present in maps to enable car navigation tasks, and because they are structuring elements that reveal the nature of the landscape (urban, rural, mountainous…). So road selection is not only about retaining the most important roads of the network, but the preservation of topology and connectivity is essential, as well as the preservation, or the typification of road patterns (e.g. a ring road), and the preservation of local density differences (between urban and rural areas for instance). It is rare to see comparisons of road selection techniques in the literature, because of the lack of open source in map generalisation, but also because of the lack of a common dataset to benchmark these techniques; new propositions on road selection are most of the time tied to their own dataset and use case. This is why we think that this BasqueRoads dataset could be useful to advance on this topic of road network selection. Numéro de notice : C2021-066 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-4-5-2022 Date de publication en ligne : 14/01/2022 En ligne : https://doi.org/10.5194/ica-abs-4-5-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99536

Deep learning for anchor detection in multi-scale maps / Quentin Potié (2022)  

Public Titre : Deep learning for anchor detection in multi-scale maps Type de document : Article/Communication Auteurs : Quentin Potié , Auteur ; Guillaume Touya , Auteur ; Chaimaa Beladraoui, Auteur ; Amina El-Moutaouakkil, Auteur ; William A Mackaness, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2022 Collection : Abstracts of the ICA num. 5 Projets : LostInZoom / Touya, Guillaume Conférence : EuroCarto 2022, European Cartographic Conference 19/09/2022 21/09/2022 Vienne Autriche OA Proceedings Note générale : bibliographie This project has received funding from the European Research Council (ERC) under the European Union‟s Horizon 2020 research and innovation programme (grant agreement No. 101003012) Langues : Anglais (eng) Descripteur : [Termes IGN] ancre [Termes IGN] apprentissage profond [Termes IGN] point de repère [Termes IGN] reconnaissance de formes [Termes IGN] visualisation multiéchelle [Vedettes matières IGN] Généralisation Numéro de notice : C2022-037 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-5-82-2022 Date de publication en ligne : 14/09/2022 En ligne : http://dx.doi.org/10.5194/ica-abs-5-82-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101622

A web GIS to generate audio-tactile maps for visually impaired people / Guillaume Touya (2022)  

Public Titre : A web GIS to generate audio-tactile maps for visually impaired people Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur ; Samuel Braikeh, Auteur ; Ridley Campbell, Auteur ; Jean-Marie Favreau, Auteur ; Jérémy Kalsron, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2022 Collection : Abstracts of the ICA num. 5 Projets : ACTIVmap / Favreau, Jean-Marie Conférence : EuroCarto 2022, European Cartographic Conference 19/09/2022 21/09/2022 Vienne Autriche OA Proceedings Langues : Anglais (eng) Descripteur : [Termes IGN] carte tactile [Termes IGN] personne malvoyante [Termes IGN] WebSIG [Vedettes matières IGN] Généralisation Numéro de notice : C2022-038 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-5-115-2022 Date de publication en ligne : 14/09/2022 En ligne : http://dx.doi.org/10.5194/ica-abs-5-115-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101621

An attempt to define perceptive and sensitive mapping through lived space experiments / Catherine Dominguès (2021)  

Public Titre : An attempt to define perceptive and sensitive mapping through lived space experiments Type de document : Article/Communication Auteurs : Catherine Dominguès , Auteur ; Laurence Jolivet , Auteur ; Eric Mermet , Auteur ; Sevil Seten, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2021 Collection : Abstracts of the ICA num. 3 Projets : 1-Pas de projet / Favreau, Jean-Marie Conférence : ICC 2021, 30th ICA international cartographic conference 14/12/2021 18/12/2021 Florence Italie OA Proceedings Langues : Anglais (eng) Descripteur : [Termes IGN] analyse des besoins [Termes IGN] cartographie sensible [Termes IGN] expérience scientifique [Termes IGN] utilisateur [Vedettes matières IGN] Cartologie Résumé : (auteur) [début] Maps are often used in the context of human and social sciences, including as a tool. For example, maps as graphic tools enable to locate survey fields and data. Especially, the synoptic property of maps makes it possible to investigate the spatial dimension of a phenomenon, the distribution of data, its changes over time, etc. In teaching activities and in support tasks for research at the EHESS in Paris, difficulties have arisen in showing research data and results in a manner which would be fruitful and acceptable to the students and researchers. The need for an adapted mapping has emerged, including the map-making process and the achieved map. Adapted mapping has been named by the phrase perceptive and sensitive mapping, in contrast with conventional mapping based on geographical databases, GIS tools and the theory of graphic semiology as taught by Jacques Bertin (Bertin, 1983). In response to this need, a training methodological seminar has been set up since 2016 in EHESS. It aims at providing an (organizational and material) framework for students in which they can experiment various protocols and be confronted with different data specifications. The procedures are designed in order to accentuate specific aspects that are not supposed to be fulfilled by conventional mapping. An analysis has been performed targeting the students' achievements and how they have been achieved. The analysis makes it possible to characterize the maps drawn in this context; to compare the students' difficulties and comments with the needs they initially expressed; to highlight in which cases conventional cartography may be inadequate for laying out some data. The result analysis enabled considering three questions: how may conventional mapping and perceptive and sensitive mapping be compared? How is perceptive and sensitive mapping a relevant tool? And thanks to the answers of the previous questions: What would be a definition of perceptive and sensitive mapping? To this end, the paper firstly details how the needs for maps were expressed and how the seminar tried to answer them by defining experiments. In the second section, the achievements are analyzed based on two items: the (displayed) graphical and cartographic features, and the protocols which enabled to make them. Lastly, the analysis enables to offer a definition of perceptive and sensitive mapping by means of a comparison with conventional mapping. Numéro de notice : C2021-044 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-3-70-2021 Date de publication en ligne : 13/12/2021 En ligne : https://doi.org/10.5194/ica-abs-3-70-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99394

Can graph convolution networks learn spatial relations? / Azelle Courtial (2021)  

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Lessons learned from a VGI initiative for Land Use monitoring / Ana-Maria Olteanu-Raimond (2021)  

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Mapping road crossings for visually impaired people / Yuhao Jiang (2021)  

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Modelling and building of a graph database of multi-source landmarks to help emergency mountain rescuers / Véronique Gendner (2021)  

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