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Disaster Image Classification by Fusing Multimodal Social Media Data / Zhiqiang Zou in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)
[article]
Titre : Disaster Image Classification by Fusing Multimodal Social Media Data Type de document : Article/Communication Auteurs : Zhiqiang Zou, Auteur ; Hongyu Gan, Auteur ; Qunying Huang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 636 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse visuelle
[Termes IGN] apprentissage profond
[Termes IGN] catastrophe naturelle
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] corpus
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] données massives
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] fusion de données multisource
[Termes IGN] qualité des données
[Termes IGN] traitement de donnéesNuméro de notice : A2021-803 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10100636 Date de publication en ligne : 24/09/2021 En ligne : https://doi.org/10.3390/ijgi10100636 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98856
in ISPRS International journal of geo-information > vol 10 n° 10 (October 2021) . - n° 636[article]Spatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape / Hariom Singh in Geocarto international, vol 36 n° 18 ([01/10/2021])
[article]
Titre : Spatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape Type de document : Article/Communication Auteurs : Hariom Singh, Auteur ; R.D. Garg, Auteur ; Harish Chandra Karnatak, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 2023 - 2043 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] autocorrélation spatiale
[Termes IGN] biodiversité
[Termes IGN] coefficient de corrélation
[Termes IGN] distribution spatiale
[Termes IGN] Inde
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] regroupement de données
[Termes IGN] relevé phytosociologique
[Termes IGN] SIG participatifRésumé : (auteur) The parallel processing and distributed GIServices provide an efficient approach to address the geocomputation challenges in biodiversity modeling. Using the widely applied Spatial Biodiversity Model (SBM) as an illustration, this study demonstrates parallelization of the spatial landscape algorithms based on Message Passing Interface (MPI) in cluster computing. The geocomputation based on MPI is performed to characterize the spatial distribution of Biological Richness (BR) for Indian landscape using developed high-performance cluster computing-based model named as SBM-HPC. In performance analysis, the execution time is reduced by 56.42%–81.41% (or the speedups of 2.29–5.38) using the parallel and cluster computing environment. Also, the spatial landscape algorithms of the model are extended to integrate large-scale geodata from online map services archives using distributed GIServices. To validate BR map, the phytosociological data is collected using participatory GIS approach. Furthermore, regression analysis between derived BR map and Shannon-Wiener index (Hˈ) represents high correlation coefficient R2 values.
Highlights :
- Development of spatial biodiversity model using parallel computing on the cluster.
- Geocomputation of spatial landscape indices using large-scale geospatial datasets.
- Distributed GIService integration in model to compute distributed data archives.
- Prediction of biological richness pattern and validation using participatory GIS.
- Characterize correlations between biological richness and bioclimatic patterns.Numéro de notice : A2021-763 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1678679 Date de publication en ligne : 21/10/2019 En ligne : https://doi.org/10.1080/10106049.2019.1678679 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98798
in Geocarto international > vol 36 n° 18 [01/10/2021] . - pp 2023 - 2043[article]A web GIS-based integration of 3D digital models with linked open data for cultural heritage exploration / Ikrom Nishanbaev in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)
[article]
Titre : A web GIS-based integration of 3D digital models with linked open data for cultural heritage exploration Type de document : Article/Communication Auteurs : Ikrom Nishanbaev, Auteur ; Erik Champion, Auteur ; David A. McMeekin, Auteur Année de publication : 2021 Article en page(s) : n° 684 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] Australie
[Termes IGN] carte interactive
[Termes IGN] édition en libre accès
[Termes IGN] hétérogénéité
[Termes IGN] informatique en nuage
[Termes IGN] interface de programmation
[Termes IGN] interopérabilité
[Termes IGN] métadonnées
[Termes IGN] modélisation 3D
[Termes IGN] patrimoine culturel
[Termes IGN] QGIS
[Termes IGN] SPARQL
[Termes IGN] visualisation 3D
[Termes IGN] web des données
[Termes IGN] WebSIGRésumé : (auteur) In recent years, considerable efforts have been made by cultural heritage institutions across the globe to digitise cultural heritage sites, artifacts, historical maps, etc. for digital preservation and online representation. On the other hand, ample research projects and studies have been published that demonstrate the great capabilities of web-geographic information systems (web-GIS) for the dissemination and online representation of cultural heritage data. However, cultural heritage data and the associated metadata produced by many cultural heritage institutions are heterogeneous. To make this heterogeneous data more interoperable and structured, an ever-growing number of cultural heritage institutions are adopting linked data principles. Although the cultural heritage domain has already started implementing linked open data concepts to the cultural heritage data, there are not many research articles that present an easy-to-implement, free, and open-source-based web-GIS architecture that integrates 3D digital cultural heritage models with cloud computing and linked open data. Furthermore, the integration of web-GIS technologies with 3D web-based visualisation and linked open data may offer new dimensions of interaction and exploration of digital cultural heritage. To demonstrate the high potential of integration of these technologies, this study presents a novel cloud architecture that attempts to enhance digital cultural heritage exploration by integrating 3D digital cultural heritage models with linked open data from DBpedia and GeoNames platforms using web-GIS technologies. More specifically, a digital interactive map, 3D digital cultural heritage models, and linked open data from DBpedia and GeoNames platforms were integrated into a cloud-based web-GIS architecture. Thus, the users of the architecture can easily interact with the digital map, visualise 3D digital cultural heritage models, and explore linked open data from GeoNames and DBpedia platforms, which offer additional information and context related to the selected cultural heritage site as well as external web resources. The architecture was validated by applying it to specific case studies of Australian cultural heritage and seeking expert feedback on the system, its benefits, and scope for improvement in the near future. Numéro de notice : A2021-802 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10100684 Date de publication en ligne : 11/10/2021 En ligne : https://doi.org/10.3390/ijgi10100684 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98854
in ISPRS International journal of geo-information > vol 10 n° 10 (October 2021) . - n° 684[article]Evaluating the potential of cybercartography in facilitating indigenous self-determination: A case study with the Hupačasath first nation / Dexter Robson in Cartographica, vol 56 n° 3 (Fall 2021)
[article]
Titre : Evaluating the potential of cybercartography in facilitating indigenous self-determination: A case study with the Hupačasath first nation Type de document : Article/Communication Auteurs : Dexter Robson, Auteur ; Christopher Bone, Auteur ; Crystal Tremblay, Auteur Année de publication : 2021 Article en page(s) : pp 169 - 182 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] amérindien
[Termes IGN] approche participative
[Termes IGN] Canada
[Termes IGN] carte thématique
[Termes IGN] cartographie par internet
[Termes IGN] communication cartographique
[Termes IGN] entretien d'enquête
[Termes IGN] patrimoine culturelRésumé : (auteur) This study evaluates a digital mapping approach called cybercartography for facilitating Indigenous self-determination. Set in the context of First Nations in Canada, this study applies Indigenous principles of ownership, control, access, and possession as a framework for identifying specific ways in which cybercartography may address aspects of self-determination. It found that the requirements of a cybercartographic application are community-specific and that these applications have the ability to facilitate self-determination when communities are engaged in technology selection throughout the research process. The case study presented here reveals that cybercartography, and digital mapping technology in general, has the potential for communicating important cultural elements of Indigenous communities and for serving as a mechanism to enhance education opportunities that connect knowledge across generations. Numéro de notice : A2021-705 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart-2020-0015 Date de publication en ligne : 30/09/2021 En ligne : https://doi.org/10.3138/cart-2020-0015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98594
in Cartographica > vol 56 n° 3 (Fall 2021) . - pp 169 - 182[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2021031 SL Revue Centre de documentation Revues en salle Disponible A framework for ecosystem service assessment using GIS interoperability standards / Martin Lacayo in Computers & geosciences, vol 154 (September 2021)
[article]
Titre : A framework for ecosystem service assessment using GIS interoperability standards Type de document : Article/Communication Auteurs : Martin Lacayo, Auteur ; Denisa Rodila, Auteur ; Gregory Giuliani, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : n° 104821 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données localisées
[Termes IGN] INSPIRE
[Termes IGN] interopérabilité
[Termes IGN] service écosystémique
[Termes IGN] service web géographique
[Termes IGN] standard OGC
[Termes IGN] système d'information géographiqueRésumé : (auteur) Ecosystem Services Web Services (ESWS) are new web-based approaches to quantifying the benefits that humans derive from nature. Specifically, ESWS are the application of open web standards to ecosystem service assessment to facilitate creation, iteration, and dissemination in a seamless way. This integration streamlines collaboration, automation, and curation, while providing an open interface through which novel advances can be incorporated. The approach creates a new level of interoperability through data provenance whereby each transition between processing steps employs standards that ensure cohesive workflows across models and platforms. This imparts a modularity that can be examined and extended at every step. Numéro de notice : A2021-681 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.cageo.2021.104821 Date de publication en ligne : 12/05/2021 En ligne : https://doi.org/10.1016/j.cageo.2021.104821 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98405
in Computers & geosciences > vol 154 (September 2021) . - n° 104821[article]Mise en place d'un dispositif expérimental numérique pour l'enseignement des risques naturels avec le jeu vidéo Minetest / Jérôme Staub in Cartes & Géomatique, n° 245-246 (septembre - décembre 2021)PermalinkThe willingness of volonteers to report changes on topographic maps / Mihaela Triglav Cekada in Geodetski vestnik, vol 65 n° 3 (September - November 2021)PermalinkTowards culture-aware smart and sustainable cities: Integrating historical sources in spatial information infrastructures / Bénédicte Bucher in ISPRS International journal of geo-information, vol 10 n° 9 (September 2021)PermalinkTowards generating network of bikeways from Mapillary data / Xuan Ding in Computers, Environment and Urban Systems, vol 88 (July 2021)PermalinkStop-and-move sequence expressions over semantic trajectories / Yenier Torres Izquierdo in International journal of geographical information science IJGIS, vol 35 n° 4 (April 2021)PermalinkA graph-based semi-supervised approach to classification learning in digital geographies / Pengyuan Liu in Computers, Environment and Urban Systems, vol 86 (March 2021)PermalinkCrowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping / Marta Samulowska in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkJoint promotion partner recommendation systems using data from location-based social networks / Yi-Chung Chen in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkPermalinkPermalink