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Topographic descriptors on the early Dutch charts of the antipodes / Jan Tent in International journal of cartography, vol 8 n° 3 (November 2022)
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Titre : Topographic descriptors on the early Dutch charts of the antipodes Type de document : Article/Communication Auteurs : Jan Tent, Auteur Année de publication : 2022 Article en page(s) : pp 272 - 290 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie
[Termes IGN] Australie
[Termes IGN] carte ancienne
[Termes IGN] descripteur
[Termes IGN] explorateur
[Termes IGN] littoral
[Termes IGN] néerlandais (langue)
[Termes IGN] nomenclature
[Termes IGN] Nouvelle-Zélande
[Termes IGN] Papouasie-Nouvelle-Guinée
[Termes IGN] toponymeRésumé : (auteur) The early Dutch charts of coastal Australia, New Zealand and New Guinea are peppered not only with toponyms but also with topographic descriptors. The latter were intended as navigational aids and warnings for future navigators. Naming or describing a geographic feature is a method of distinguishing it from the surrounding topography. At times some topographic descriptors have been considered or interpreted as toponyms. This article explores whether there are any means of determining the difference between the two, and what may have been initially intended by the explorers who entered them on their manuscript charts. Reasons for the relevance of making such a distinction are also considered. Numéro de notice : A2022-746 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/TOPONYMIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2020.1859937 Date de publication en ligne : 11/02/2021 En ligne : https://doi.org/10.1080/23729333.2020.1859937 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101731
in International journal of cartography > vol 8 n° 3 (November 2022) . - pp 272 - 290[article]"Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography / Nadezhda Mamontova in Cartographica, vol 57 n° 3 (September 2022)
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Titre : "Process toponymy": A GIS-based community-engaged approach to indigenous dynamic place naming systems and vernacular cartography Type de document : Article/Communication Auteurs : Nadezhda Mamontova, Auteur ; Elena Klyachko, Auteur Année de publication : 2022 Article en page(s) : pp 213 - 225 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Toponymie
[Termes IGN] carte thématique
[Termes IGN] ontologie
[Termes IGN] portail
[Termes IGN] sémiologie graphique
[Termes IGN] Sibérie
[Termes IGN] système d'information géographique
[Termes IGN] toponymie localeRésumé : (auteur) This paper discusses the aim and the process of designing a community-engaged open-access GIS toponymic platform, based on Indigenous Evenki place names. Most projects on Indigenous toponymy available online are either oriented towards professional use among scholars or serve as enclosed repositories of Indigenous knowledge. Toponymic atlases remain the most common form of documenting and representing Indigenous place naming systems. Yet, temporal and geographic comparisons of place names have clearly demonstrated that, along with a conventional understanding of Indigenous place names as stable and conservative, there is a dynamic model of place naming to be found in nomadic societies, when the names are not only passed through generations but also modified and created. This finding required a number of methodological approaches regarding how researchers might collect and represent geospatial concepts and place names in nomadic societies, with the use of GIS technology. Our project attempts to approach this issue by creating an open digital platform that combines GIS with Indigenous vernacular cartography, place names, and a great variety of data regarding the meaning and use of toponyms, their evolution, and change. We call this approach a “process toponymy” and advocate for applying a semiotic approach to documenting and representing Indigenous place names’ knowledge via GIS-based platforms. Numéro de notice : A2022-848 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2022-0010 Date de publication en ligne : 02/11/2022 En ligne : https://doi.org/10.3138/cart-2022-0010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102086
in Cartographica > vol 57 n° 3 (September 2022) . - pp 213 - 225[article]Polyline simplification based on the artificial neural network with constraints of generalization knowledge / Jiawei Du in Cartography and Geographic Information Science, Vol 49 n° 4 (July 2022)
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Titre : Polyline simplification based on the artificial neural network with constraints of generalization knowledge Type de document : Article/Communication Auteurs : Jiawei Du, Auteur ; Jichong Yin, Auteur ; Chengyi Liu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 313 - 337 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] descripteur
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] polyligne
[Termes IGN] programmation par contraintes
[Termes IGN] réseau neuronal artificiel
[Termes IGN] simplification de contour
[Vedettes matières IGN] GénéralisationRésumé : (auteur) The present paper presents techniques for polyline simplification based on an artificial neural network within the constraints of generalization knowledge. The proposed method measures polyline shape characteristics that influence polyline simplification using abstracted descriptors and then introduces these descriptors into the artificial neural network as input properties. In total, 18 descriptors categorized into three types are presented in detail. In a second approach, map simplification principles are abstracted as controllers, imposed after the output layer of the trained artificial neural network to make the polyline simplification comply with these principles. This study worked with three controllers – a basic controller and two knowledge-based controllers. These descriptors and controllers abstracted from generalization knowledge were tested in experiments to determine their efficacy in polyline simplification based on the artificial neural network. The experimental results show that the utilization of abstracted descriptors and controllers can constrain the artificial neural network-based polyline simplification according to polyline shape characteristics and simplification principles. Numéro de notice : A2022-479 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : https://doi.org/10.1080/15230406.2021.2013944 Date de publication en ligne : 17/01/2022 En ligne : https://doi.org/10.1080/15230406.2021.2013944 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100885
in Cartography and Geographic Information Science > Vol 49 n° 4 (July 2022) . - pp 313 - 337[article]
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Titre : Dater les documents cartographiques Type de document : Article/Communication Auteurs : Jean-Luc Arnaud, Auteur Année de publication : 2022 Article en page(s) : pp 1 - 18 Note générale : bibliographie Langues : Français (fre) Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie ancienne
[Termes IGN] cartographie militaire
[Termes IGN] datation
[Termes IGN] dépôt de la guerre
[Termes IGN] document cartographique
[Termes IGN] échelle cartographique
[Termes IGN] édition cartographique
[Termes IGN] histoire
[Termes IGN] précision
[Termes IGN] Service Géographique de l'Armée
[Termes IGN] utilisateurRésumé : (auteur) Cet article examine les modes de datation de la production cartographique française depuis la fin du XVIIIe siècle. Il est composé de sept chapitres thématiques qui envisagent la multiplicité des pratiques des éditeurs et montrent qu’en fonction de l’usage envisagé pour chaque document et de son niveau de précision, les enjeux portés par la datation prennent des formes différentes. Numéro de notice : A2022-294 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans En ligne : http://www.e-perimetron.org/Vol_17_1/Arnaud.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100346
in e-Perimetron > vol 17 n° 1 (avril 2022) . - pp 1 - 18[article]Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation / Yingjie Hu in International journal of geographical information science IJGIS, vol 36 n° 4 (April 2022)
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Titre : Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation Type de document : Article/Communication Auteurs : Yingjie Hu, Auteur ; Zhipeng Gui, Auteur ; Jimin Wang, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 799 - 821 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] descripteur
[Termes IGN] données d'entrainement sans étiquette
[Termes IGN] image cartographique
[Termes IGN] métadonnées
[Termes IGN] projection
[Termes IGN] système d'information géographique
[Termes IGN] Web Map Service
[Termes IGN] web mappingRésumé : (auteur) Maps in the form of digital images are widely available in geoportals, Web pages, and other data sources. The metadata of map images, such as spatial extents and place names, are critical for their indexing and searching. However, many map images have either mismatched metadata or no metadata at all. Recent developments in deep learning offer new possibilities for enriching the metadata of map images via image-based information extraction. One major challenge of using deep learning models is that they often require large amounts of training data that have to be manually labeled. To address this challenge, this paper presents a deep learning approach with GIS-based data augmentation that can automatically generate labeled training map images from shapefiles using GIS operations. We utilize such an approach to enrich the metadata of map images by adding spatial extents and place names extracted from map images. We evaluate this GIS-based data augmentation approach by using it to train multiple deep learning models and testing them on two different datasets: a Web Map Service image dataset at the continental scale and an online map image dataset at the state scale. We then discuss the advantages and limitations of the proposed approach. Numéro de notice : A2022-258 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : https://doi.org/10.1080/13658816.2021.1968407 En ligne : https://doi.org/10.1080/13658816.2021.1968407 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100231
in International journal of geographical information science IJGIS > vol 36 n° 4 (April 2022) . - pp 799 - 821[article]ALEGORIA: Joint multimodal search and spatial navigation into the geographic iconographic heritage / Florent Geniet (2022)
PermalinkPermalinkPermalinkGénération d’un jeu de données d’entraînement et mise en oeuvre d’une architecture de détection par deep learning des numéros de parcelles sur les plans du cadastre Napoléonien / Tiecoumba Ibrahim Tamela (2022)
PermalinkInteractive HGIS platform union of Lublin (1569): A geomatic solution for discovering the Jagiellonian heritage of the city / Jakub Kuna in Journal of Cultural Heritage, vol 53 (January–February 2022)
PermalinkPermalinkPermalinkLa photogrammétrie appliquée au récolement des réseaux enterrés : retour d’expérience d’une méthode industrialisée / Jérôme Leroux in XYZ, n° 169 (décembre 2021)
PermalinkInteractive maps for the production of knowledge and the promotion of participation from the perspective of communication, journalism, and digital humanities / Pedro Molina Rodríguez-Navas in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)
PermalinkAnalyzing routes in Ottoman Greater Syria using historical GIS: The 1849 Saida map / Motti Zohar in Transactions in GIS, vol 25 n° 5 (October 2021)
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