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Titre : Geodata and Tools for Education and Research : Workshop report, AGILE Pre-Conference Workshop June 14th 2022 -Vilnius, Lithuania Type de document : Actes de congrès Auteurs : Bénédicte Bucher , Auteur ; Frédéric Cantat , Auteur ; Joep Crompvoets, Auteur ; Anka Lisec, Auteur ; Markéta Potůčková, Auteur ; Conor Cahalane, Auteur ; Evelyn Uuemaa, Auteur ; Mathieu Chartier, Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 2022 Conférence : AGILE 2022, Pre-Conference Workshop 14/06/2022 Vilnius Lituanie Importance : 15 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données localisées
[Termes IGN] formationRésumé : (auteur) Geographical data and analyses are a useful asset in several domains of education and research including geography, history, urbanism or environmental science, amongst others, from primary school to higher education and life-long learning. In the specific context of Europe, as more and more data (including geographic data) becomes open for all, it is crucial to ensure these users have the capacity to make the most of the wealth of this data.
Reciprocally, from the perspective of data providers, education and research are particularly important application domains. They have the ability to link knowledge (production or dissemination) with data and adopt critical perspectives on this data.
In this context, a half-day workshop was organised by EuroSDR during the 2022 conference of the Association of Geographical Information Laboratories in Europe (AGILE). It focussed on current experiences developed by EuroSDR members, mainly at national mapping agencies, as well as proposals stemming from AGILE research communities, to share experiences and visions on this topic. It also targeted possible synergies to interconnect existing approaches, usually national, and achieve crossnational solutions, in Europe and beyond.Numéro de notice : 17756 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : GEOMATIQUE Nature : Actes DOI : sans En ligne : http://www.eurosdr.net/sites/default/files/uploaded_files/ws-report_geodatatools [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103187 Mapping territorial vulnerability to wildfires: A participative multi-criteria analysis / Miguel Rivière in Forest ecology and management, vol 539 (July-1 2023)
[article]
Titre : Mapping territorial vulnerability to wildfires: A participative multi-criteria analysis Type de document : Article/Communication Auteurs : Miguel Rivière, Auteur ; Jonathan Lenglet, Auteur ; Adrien Noirault, Auteur ; et al., Auteur Année de publication : 2023 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse multicritère
[Termes IGN] cartographie des risques
[Termes IGN] incendie de forêt
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] Rhône-Méditerranée-Corse
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du sol
[Termes IGN] vulnérabilitéNuméro de notice : A2023-216 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1016/j.foreco.2023.121014 Date de publication en ligne : 22/04/2023 En ligne : https://doi.org/10.1016/j.foreco.2023.121014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103146
in Forest ecology and management > vol 539 (July-1 2023)[article]Allowing context to speak: the progressive case study method for cadastral systems research / Simon Hull in Survey review, vol 55 n° 390 (May 2023)
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Titre : Allowing context to speak: the progressive case study method for cadastral systems research Type de document : Article/Communication Auteurs : Simon Hull, Auteur ; Jennifer Whittal, Auteur Année de publication : 2023 Article en page(s) : pp 205 - 215 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre
[Termes IGN] droit coutumier
[Termes IGN] droit foncier
[Termes IGN] prise en compte du contexte
[Termes IGN] raisonnement déductif
[Termes IGN] raisonnement inductifRésumé : (auteur) For research involving customary land rights, "context is key" because every context brings specific nuances for consideration. Failure to account for context runs the risk of irrelevance, unintended consequences and/or failure. We present a research method that allows context to speak: the progressive case study. The approach combines deductive case study with inductive grounded theory approaches. The results are used to propose a framework for guiding cadastral systems development in customary land rights contexts. This paper presents the methodology, which should be useful for researchers, NGOs and multinational organisations doing development programming in developing contexts. Numéro de notice : A2023-211 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/00396265.2022.2045457 Date de publication en ligne : 06/03/2022 En ligne : https://doi.org/10.1080/00396265.2022.2045457 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103065
in Survey review > vol 55 n° 390 (May 2023) . - pp 205 - 215[article]Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data / Haoyi Xiong in International journal of geographical information science IJGIS, vol 37 n° 5 (May 2023)
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Titre : Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data Type de document : Article/Communication Auteurs : Haoyi Xiong, Auteur ; Xun Zhou, Auteur ; David A. Bennett, Auteur Année de publication : 2023 Article en page(s) : pp 1157-1179 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] détection d'anomalie
[Termes IGN] données spatiotemporelles
[Termes IGN] événement
[Termes IGN] flux
[Termes IGN] gestion de trafic
[Termes IGN] réseau routier
[Termes IGN] trafic routierRésumé : (auteur) Traffic congestion on a road segment typically begins as a small-scale spatiotemporal event that can then propagate throughout a road network and produce large-scale disruptions to a transportation system. In current techniques for the analysis of network flow, data is often aggregated to relatively large (e.g. 5 min) discrete time steps that obscure the small-scale spatiotemporal interactions that drive larger-scale dynamics. We propose a new method that handles fine-grained data to better capture those dynamics. Propagation patterns of traffic congestion are represented as spatiotemporally connected events. Each event is captured as a time series at the temporal resolution of the available trajectory data and at the spatial resolution of the network edge. The spatiotemporal propagation patterns of traffic congestion are captured using Dynamic Time Warping and represented as a set of directed acyclic graphs of spatiotemporal events. Results from this method are compared to an existing method using fine-grained data derived from an agent-based model of traffic simulation. Our method outperforms the existing method. Our method also successfully detects congestion propagation patterns that were reported by media news using sparse real-world data derived from taxis. Numéro de notice : A2023-225 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2023.2178653 Date de publication en ligne : 22/02/2023 En ligne : https://doi.org/10.1080/13658816.2023.2178653 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103177
in International journal of geographical information science IJGIS > vol 37 n° 5 (May 2023) . - pp 1157-1179[article]Transform paper-based cadastral data into digital systems using GIS and end-to-end deep learning techniques / Joseph Mango in International journal of geographical information science IJGIS, vol 37 n° 5 (May 2023)
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Titre : Transform paper-based cadastral data into digital systems using GIS and end-to-end deep learning techniques Type de document : Article/Communication Auteurs : Joseph Mango, Auteur ; Moyang Wang, Auteur ; Senlin Mu, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 1099 - 1127 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre
[Termes IGN] apprentissage profond
[Termes IGN] données cadastrales
[Termes IGN] numérisation du cadastre
[Termes IGN] réseau neuronal artificiel
[Termes IGN] système d'information géographiqueRésumé : (auteur) Digital systems storing cadastral data in vector format are considered effective due to their ability of offering interactive services to citizens and other land-related systems. The adoption of such systems is ubiquitous, but when adopted, they create two non-compatible systems with paper-based cadastral systems whose information needs to be digitised. This study proposes a new approach that is fast and accurate for transforming paper-based cadastral data into digital systems. The proposed method involves deep-learning techniques of the LCNN and ResNet-50 for detecting cadastral parcels and their numbers, respectively, from the cadastral plans. It also contains four functions defined to speed up transformations and compilations of the cadastral plan’s data in digital systems. The LCNN is trained and validated with 968 samples. The ResNet-50 is trained and validated with 106,000 samples. The Structural-Average-Precision (sAP10) achieved with the LCNN was 0.9057. The Precision, Recall and F1-Score achieved with the ResNet-50 were 0.9650, 0.9648 and 0.9649, respectively. These results confirmed that the new method is accurate enough for implementation, and we tested it with a huge set of data from Tanzania. Its performance from the experimented data shows that the proposed method could effectively transform paper-based cadastral data into digital systems. Numéro de notice : A2023-212 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2023.2178002 Date de publication en ligne : 22/03/2023 En ligne : https://doi.org/10.1080/13658816.2023.2178002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103139
in International journal of geographical information science IJGIS > vol 37 n° 5 (May 2023) . - pp 1099 - 1127[article]An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale / Zhiyan Yi in Computers, Environment and Urban Systems, vol 101 (April 2023)PermalinkAn improved MCDM combined with GIS for risk assessment of multi-hazards in Hong Kong / Hai-Min Lyu in Sustainable Cities and Society, vol 91 (April 2023)PermalinkAutomatic generation of outline-based representations of landmark buildings with distinctive shapes / Peng Ti in International journal of geographical information science IJGIS, vol 37 n° 4 (April 2023)PermalinkEvaluating future railway-induced urban growth of twelve cities using multiple SLEUTH models with open-source geospatial inputs / Alvin Christopher G. Varquez in Sustainable Cities and Society, vol 91 (April 2023)PermalinkGeoDanceHive: An operational hive for honeybees dances recording / Sylvain Galopin in Animals, vol 13 n° 7 (April-1 2023)PermalinkLight mode and dark mode: Which one is suitable when using public-facing web maps? An experimental evaluation using eye-tracking / Lige Qiao in Transactions in GIS, vol 27 n° 2 (april 2023)PermalinkMethods for matching English language addresses / Keshav Ramani in Transactions in GIS, vol 27 n° 2 (april 2023)PermalinkA network-constrained clustering method for bivariate origin-destination movement data / Wenkai Liu in International journal of geographical information science IJGIS, vol 37 n° 4 (April 2023)PermalinkAssessing the cognition of movement trajectory visualizations: interpreting speed and direction / Crystal J. Bae in Cartography and Geographic Information Science, Vol 50 n° 2 (March 2023)PermalinkA GIS-based model for automated land suitability assessment for main crops in north-western desert of Egypt (case study: south of Al-Dabaa Corridor) / Adel Shalaby in Applied geomatics, vol 15 n° 1 (March 2023)Permalink