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An automated approach for clipping geographic data before projection that maintains data integrity and minimizes distortion for virtually any projection method / Jim Graham in Cartographica, Vol 57 n° 4 (December 2022)
[article]
Titre : An automated approach for clipping geographic data before projection that maintains data integrity and minimizes distortion for virtually any projection method Type de document : Article/Communication Auteurs : Jim Graham, Auteur Année de publication : 2022 Article en page(s) : pp 257 - 269 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Projections
[Termes IGN] carroyage
[Termes IGN] intégrité des données
[Termes IGN] polygone
[Termes IGN] projection
[Termes IGN] Python (langage de programmation)Résumé : (auteur) Selecting a map projection is key to minimizing distortion and thus clear communication of spatial data and accurate spatial analysis. Methods exist for selecting projections based on the intended area of use but not for finding polygons that can be used to clip geographic data to ensure the data are projected correctly and within desired distortion limits. The projection methods available in the Proj library were examined to determine the nature of the errors and distortions they created based on global data and a wide variety of available settings. Approaches were then identified for each projection including simple bounding boxes and more complex clipping polygons. To make sure that errors were not introduced into the projected data, data integrity polygons (DIPs) were created by placing a grid of cells over the Earth and then finding a cell near the origin that was within the specified criteria. Adjacent cells were added to the DIPs that met the criteria until no additional cells could be added. The criteria included projected cell sides could not intersect with themselves or other cells, the order of the cell corners could not be reversed, and distortion within the cell had to be within specified limits. I found that up to two DIPs with a limit on length distortion of a factor of 4 provided a general solution for all but three projection methods. Limitations included the time to find DIPs at high resolution. Clipping polygons and visualizations of the results were made available on a website. Numéro de notice : A2022-923 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart-2021-0015 Date de publication en ligne : 01/12/2022 En ligne : https://doi.org/10.3138/cart-2021-0015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102465
in Cartographica > Vol 57 n° 4 (December 2022) . - pp 257 - 269[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 031-2022041 RAB Revue Centre de documentation En réserve L003 Disponible LinkClimate: An interoperable knowledge graph platform for climate data / Jiantao Wu in Computers & geosciences, vol 169 (December 2022)
[article]
Titre : LinkClimate: An interoperable knowledge graph platform for climate data Type de document : Article/Communication Auteurs : Jiantao Wu, Auteur ; Fabrizio Orlandi, Auteur ; Declan O'Sullivan, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 105215 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] changement climatique
[Termes IGN] données météorologiques
[Termes IGN] données multisources
[Termes IGN] historique des données
[Termes IGN] interopérabilité sémantique
[Termes IGN] National oceanic and atmospheric administration
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] réseau sémantique
[Termes IGN] site wiki
[Termes IGN] SPARQL
[Termes IGN] web sémantiqueRésumé : (auteur) Climate science has become more ambitious in recent years as global awareness about the environment has grown. To better understand climate, historical climate(e.g. archived meteorological variables such as temperature, wind, water, etc.) and climate-related data (e.g. geographical features and human activities) are widely used by today’s climate research to derive models for an explainable climate change and its effects. However, such data sources are often dispersed across a multitude of disconnected data silos on the Web. Moreover, there is a lack of advanced climate data platforms to enable multi-source heterogeneous climate data analysis, therefore, researchers must face a stern challenge in collecting and analyzing multi-source data. In this paper, we address this problem by proposing a climate knowledge graph for the integration of multiple climate data and other data sources into one service, leveraging Web technologies (e.g. HTTP) for multi-source climate data analysis. The proposed knowledge graph is primarily composed of data from the National Oceanic and Atmospheric Administration’s daily climate summaries, OpenStreetMap, and Wikidata, and it supports joint data queries on these widely used databases. This paper shows, with a use case in Ireland and the United Kingdom, how climate researchers could benefit from this platform as it allows them to easily integrate datasets from different domains and geographical locations. Numéro de notice : A2022-789 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cageo.2022.105215 Date de publication en ligne : 30/08/2022 En ligne : https://doi.org/10.1016/j.cageo.2022.105215 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101897
in Computers & geosciences > vol 169 (December 2022) . - n° 105215[article]Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications / Wenwen Li in Computers, Environment and Urban Systems, vol 98 (December 2022)
[article]
Titre : Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications Type de document : Article/Communication Auteurs : Wenwen Li, Auteur ; Sizhe Wang, Auteur ; Sheng wu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 101884 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] base de données relationnelles
[Termes IGN] entrepôt de données
[Termes IGN] ontologie
[Termes IGN] RDF
[Termes IGN] référentiel sémantique
[Termes IGN] requête spatiale
[Termes IGN] réseau sémantique
[Termes IGN] SPARQL
[Termes IGN] stockage de données
[Termes IGN] test de performance
[Termes IGN] web sémantiqueRésumé : (auteur) Knowledge graph has become a cutting-edge technology for linking and integrating heterogeneous, cross-domain datasets to address critical scientific questions. As big data has become prevalent in today's scientific analysis, semantic data repositories that can store and manage large knowledge graph data have become critical in successfully deploying spatially explicit knowledge graph applications. This paper provides a comprehensive evaluation of the popular semantic data repositories and their computational performance in managing and providing semantic support for spatial queries. There are three types of semantic data repositories: (1) triple store solutions (RDF4j, Fuseki, GraphDB, Virtuoso), (2) property graph databases (Neo4j), and (3) an Ontology-Based Data Access (OBDA) approach (Ontop). Experiments were conducted to compare each repository's efficiency (e.g., query response time) in handling geometric, topological, and spatial-semantic related queries. The results show that Virtuoso achieves the overall best performance in both non-spatial and spatial-semantic queries. The OBDA solution, Ontop, has the second-best query performance in spatial and complex queries and the best storage efficiency, requiring the least data-to-RDF conversion efforts. Other triple store solutions suffer from various issues that cause performance bottlenecks in handling spatial queries, such as inefficient memory management and lack of proper query optimization. Numéro de notice : A2022-720 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2022.101884 En ligne : https://doi.org/10.1016/j.compenvurbsys.2022.101884 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101654
in Computers, Environment and Urban Systems > vol 98 (December 2022) . - n° 101884[article]Graph-based leaf–wood separation method for individual trees using terrestrial lidar point clouds / Zhilin Tian in IEEE Transactions on geoscience and remote sensing, vol 60 n° 11 (November 2022)
[article]
Titre : Graph-based leaf–wood separation method for individual trees using terrestrial lidar point clouds Type de document : Article/Communication Auteurs : Zhilin Tian, Auteur ; Shihua Li, Auteur Année de publication : 2022 Article en page(s) : n° 5705111 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] bois
[Termes IGN] branche (arbre)
[Termes IGN] chemin le plus court, algorithme du
[Termes IGN] données lidar
[Termes IGN] échantillonnage de données
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] feuille (végétation)
[Termes IGN] graphe
[Termes IGN] Python (langage de programmation)
[Termes IGN] segmentation
[Termes IGN] semis de pointsRésumé : (auteur) Terrestrial light detection and ranging (lidar) is capable of resolving trees at the branch/leaf level with accurate and dense point clouds. The separation of leaf and wood components is a prerequisite for the estimation of branch/leaf-scale biophysical properties and realistic tree model reconstruction. Most existing methods have been tested on trees with similar structures; their robustness for trees of different species and sizes remains relatively unexplored. This study proposed a new graph-based leaf–wood separation (GBS) method for individual trees purely using the xyz -information of the point cloud. The GBS method fully utilized the shortest path-based features, as the shortest path can effectively reflect the structures for trees of different species and sizes. Ten types of tree data—covering tropical, temperate, and boreal species—with heights ranging from 5.4 to 43.7 m, were used to test the method performance. The mean accuracy and kappa coefficient at the point level were 94% and 0.78, respectively, and our method outperformed two other state-of-the-art methods. Through further analysis and testing, the GBS method exhibited a strong ability for detecting small and leaf-surrounded branches, and was also sufficiently robust in terms of data subsampling. Our research further demonstrated the potential of the shortest path-based features in leaf–wood separation. The entire framework was provided for use as an open-source Python package, along with our labeled validation data. Numéro de notice : A2022-853 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2022.3218603 Date de publication en ligne : 01/11/2022 En ligne : https://doi.org/10.1109/TGRS.2022.3218603 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102099
in IEEE Transactions on geoscience and remote sensing > vol 60 n° 11 (November 2022) . - n° 5705111[article]Habitats, agricultural practices, and population dynamics of a threatened species: The European turtle dove in France / Christophe Sauser in Biological Conservation, vol 274 (octobre 2022)
[article]
Titre : Habitats, agricultural practices, and population dynamics of a threatened species: The European turtle dove in France Type de document : Article/Communication Auteurs : Christophe Sauser, Auteur ; Loïc Commagnac , Auteur ; Cyril Eraud, Auteur ; et al., Auteur Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : n° 109730 Note générale : bibliographie
Addendum : "The authors add: This study was partly funded and forms part of OFB's contribution to the European Commission contract ENV.D.3/SER /2019/0021 “Development of a population model and adaptive harvest mechanism for Turtle Dove (Streptopelia turtur)”. The authors would like to apologise for any inconvenience caused."Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agronomie
[Termes IGN] analyse diachronique
[Termes IGN] Aves
[Termes IGN] habitat animal
[Termes IGN] haie
[Termes IGN] impact sur l'environnement
[Termes IGN] jachère
[Termes IGN] lisière
[Termes IGN] modèle numérique
[Termes IGN] politique de conservation (biodiversité)
[Termes IGN] R (langage)Mots-clés libres : tourterelle des bois Streptopelia turtur Résumé : (auteur) Agricultural changes in recent decades have led to a widespread loss of biodiversity, with habitat loss considered as the main factor in the decline. The European turtle dove is one of the farmland birds that has declined markedly in Europe, leading the IUCN to downgrade its status in 2015 from “Near Threatened” to “Vulnerable”. Knowledge of how habitat factors and agricultural practices influence the turtle dove population is crucial for the conservation of this species through the implementation of targeted measures. Here we investigate how foraging and nesting habitats influence the abundance of turtle doves at national and regional scales, using a 23-year dataset from point counts carried out throughout France, a stronghold country for this species during the breeding season. We found that turtle dove abondance was positively affected by fallow lands, both at national and regional scales. Turtle dove abundance was also negatively affected by fodder crop area at national scale, but the effect was detected in only four of the 13 French regions. We also showed that an increase in hedgerows length had a positive effect on turtle dove abundance. On the other hand, forest edges length showed a bell-shaped trend, suggesting that an increase in forest edges length may have a favourable effect on turtle dove abundance only up to a given threshold. We suggest that targeted conservation measures combining an increase in fallow lands and hedgerows length could allow the stabilisation or even an increase in turtle dove abundance in France, but also in European countries with similar landscapes. Numéro de notice : A2022-687 Affiliation des auteurs : IGN+Ext (2020- ) Autre URL associée : Addendum Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.biocon.2022.109730 Date de publication en ligne : 09/09/2022 En ligne : https://doi.org/10.1016/j.biocon.2022.109730 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101612
in Biological Conservation > vol 274 (octobre 2022) . - n° 109730[article]Novel algorithm based on geometric characteristics for tree branch skeleton extraction from LiDAR point cloud / Jie Yang in Forests, vol 13 n° 10 (October 2022)PermalinkPyeo: A Python package for near-real-time forest cover change detection from Earth observation using machine learning / J.F. Roberts in Computers & geosciences, vol 167 (October 2022)PermalinkGNSSseg, a statistical method for the segmentation of daily GNSS IWV time series / Annarosa Quarello in Remote sensing, vol 14 n° 14 (July-2 2022)PermalinkA geospatial workflow for the assessment of public transit system performance using near real-time data / Anastassios Dardas in Transactions in GIS, vol 26 n° 4 (June 2022)PermalinkNarrative cartography with knowledge graphs / Gengchen Mai in Journal of Geovisualization and Spatial Analysis, vol 6 n° 1 (June 2022)PermalinkAn algorithm to assist the robust filter for tightly coupled RTK/INS navigation system / Zun Niu in Remote sensing, vol 14 n° 10 (May-2 2022)PermalinkAutomated inventory of broadleaf tree plantations with UAS imagery / Aishwarya Chandrasekaran in Remote sensing, vol 14 n° 8 (April-2 2022)PermalinkA survey on semantic question answering systems / Christina Antoniou in The Knowledge Engineering Review, vol 37 (2022)PermalinkPermalinkConstruction d’un plugin QGIS de détection d’îlots de chaleur urbains à partir d’images satellitaires de type optique / Houssayn Meriche (2022)PermalinkCréation d’un indicateur de qualité de la desserte des transports pour des parcelles à une échelle locale / Nick Lin (2022)PermalinkPermalinkPermalinkIntroduction à la géomatique pour le statisticien : quelques concepts et outils innovants de gestion, traitement et diffusion de l’information spatiale / François Sémécurbe (2022)PermalinkPreparation of the VENµS satellite data over Israel for the input into the GRASP data treatment algorithm / Maeve Blarel (2022)PermalinkPython software to transform GPS SNR wave phases to volumetric water content / Angel Martín in GPS solutions, vol 26 n° 1 (January 2022)PermalinkRemise en forme des données géographiques des biotopes en milieu ouvert du Luxembourg / Alexandre Nghien (2022)PermalinkRévision de la chaîne de valorisation des données en système d’information décisionnel / Quentin Courtiade (2022)PermalinkUtilisations multiples de FME pour automatiser les traitements d’une collectivité / Emma Bolmin (2022)PermalinkComparative analysis for methods of building digital elevation models from topographic maps using geoinformation technologies / Vadim Belenok in Geodesy and cartography, vol 47 n° 4 (December 2021)PermalinkDigitizing and visualizing sketch map data: A semi-structured approach to qualitative GIS / Christopher Prener in Cartographica, vol 56 n° 4 (Winter 2021)PermalinkForest structural complexity tool: An open source, fully-automated tool for measuring forest point clouds / Sean Krisanski in Remote sensing, vol 13 n° 22 (November-2 2021)PermalinkGROOPS: A software toolkit for gravity field recovery and GNSS processing / Torsten Mayer-Gürr in Computers & geosciences, vol 155 (October 2021)PermalinkThe integration of GPS/BDS real-time kinematic positioning and visual–inertial odometry based on smartphones / Zun Niu in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)PermalinkA 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)PermalinkIntegrating GIS and location modeling: A relational approach / Ting L. Lei in Transactions in GIS, Vol 25 n° 4 (August 2021)PermalinkIdentifying home locations in human mobility data: an open-source R package for comparison and reproducibility / Qingqing Chen in International journal of geographical information science IJGIS, vol 35 n° 7 (July 2021)PermalinkJUST: MATLAB and python software for change detection and time series analysis / Ebrahim Ghaderpour in GPS solutions, vol 25 n° 3 (July 2021)PermalinkUsing machine learning to map Western Australian landscapes for mineral exploration / Thomas Albrecht in ISPRS International journal of geo-information, vol 10 n° 7 (July 2021)PermalinkAboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data : The superiority of deep learning over a semi-empirical model / S.M. Ghosh in Computers & geosciences, vol 150 (May 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)PermalinkSpatial analysis of subway passenger traffic in Saint-Petersburg / Tatiana Baltyzhakova in Geodesy and cartography, vol 47 n° 1 (January 2021)PermalinkPermalinkDétection d’ouvertures par segmentation sémantique de nuages de points 3D : apport de l’apprentissage profond / Camille Lhenry (2021)PermalinkPermalinkFOSTER - An R package for forest structure extrapolation / Martin Queinnec in Plos one, vol 16 n° 1 (January 2021)PermalinkImports massifs de données dans OpenStreetMap : un phénomène en plein essor / Mamadou Bailo Balde (2021)PermalinkPermalinkMise en place d’une infrastructure de données spatiales sur le risque de piqures de tiques / Lilian Calas (2021)PermalinkParticiper à la construction de la base de données des toponymes maritimes du SHOM / Solenn Tual (2021)PermalinkQualification des données LiDAR GEDI pour le suivi de l’impact climatique sur la forêt de Südharz / Iris Jeuffrard (2021)PermalinkSpatial Linked Data in Europe: Report from Spatial Linked Data Session at Knowledge Graph in Action, October 6th, 2020, on-line conference / Bénédicte Bucher (February 2021)PermalinkSystème de gestion des servitudes d’utilité publique du Bas-Rhin : développement "backend" / Patrick-Franck Namekong-Teulong (2021)PermalinkTime-series analysis of massive satellite images : Application to earth observation / Alexandre Constantin (2021)PermalinkMapping of land cover with open-source software and ultra-high-resolution imagery acquired with unmanned aerial vehicles / Ned Horning in Remote sensing in ecology and conservation, vol 6 n° 4 (December 2020)PermalinkfusionImage: An R package for pan‐sharpening images in open source software / Fulgencio Cánovas‐García in Transactions in GIS, Vol 24 n° 5 (October 2020)PermalinkPython software tools for GNSS interferometric reflectometry (GNSS-IR) / Angel Martín in GPS solutions, Vol 24 n° 4 (October 2020)PermalinkEstimating spatio-temporal air temperature in London (UK) using machine learning and earth observation satellite data / Rochelle Schneider dos Santos in International journal of applied Earth observation and geoinformation, vol 88 (June 2020)PermalinkImproved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests / Sruthi M. Krishna Moorthy in IEEE Transactions on geoscience and remote sensing, vol 58 n° 5 (May 2020)PermalinkAnalyse hydrologique du réseau de drainage de la zone sud de la métropole nantaise pour une meilleure gestion des eaux pluviales / Anna Guézénoc (2020)PermalinkCalcul d’une emprise de carte à partir du texte d’un article de presse / Clément Beauvallet (2020)PermalinkCreating a web mapping portal to manage Malta’s underwater cultural heritage / Mélissa Dupuis (2020)PermalinkCreation of inspirational Web Apps that demonstrate the functionalities offered by the ArcGIS API for JavaScript / Arthur Genet (2020)PermalinkCréation d’un outil d’interrogation du référentiel régional pédologique de Bretagne pour estimation du stock de carbone organique du sol / Louise Grall (2020)PermalinkDevelopment of new homogenisation methods for GNSS atmospheric data. Application to the analysis of climate trends and variability / Annarosa Quarello (2020)PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkRestitution de profils verticaux de la distribution de gouttes de pluie à partir de mesures au sol et en altitude / Christophe Samboun (2020)PermalinkA factor model approach for the joint segmentation with between‐series correlation / Xavier Collilieux in Scandinavian Journal of Statistics, vol 46 n° 3 (September 2019)PermalinkPpC: a new method to reduce the density of lidar data. Does it affect the DEM accuracy? / Sandra Bujan in Photogrammetric record, vol 34 n° 167 (September 2019)PermalinkSpatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model / Mariana Madruga de bruto in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)PermalinkBridging open source tools and geoportals for interactive spatial data analytics / Bing She in Geo-spatial Information Science, vol 22 n° 3 (August 2019)PermalinkMise en oeuvre d'outils open source pour le suivi opérationnel de l'occupation des sols et de la déforestation à partir des données Sentinel radar optique : études de cas en Guyane et au Togo / Cédric Lardeux in Revue Française de Photogrammétrie et de Télédétection, n° 219-220 (juin - octobre 2019)PermalinkThe simplicity of modern audiovisual web cartography : An example with the open-source JavaScript library leaflet.js / Dennis Edler in KN, Journal of Cartography and Geographic Information, vol 69 n° 1 (May 2019)PermalinkGeographic Knowledge Graph (GeoKG): A formalized geographic knowledge representation / Shu Wang in ISPRS International journal of geo-information, vol 8 n° 4 (April 2019)PermalinkThe possibility of measuring the dynamic response of structures using non-contact geodetic method / Bostjan Kovacic in Geodetski vestnik, vol 63 n° 1 (March - May 2019)PermalinkLeaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem / Aaron G. Kamoske in Forest ecology and management, vol 433 (15 February 2019)PermalinkDeveloping an optimized texture mapping for photorealistic 3D buildings / Jungil Lee in Transactions in GIS, vol 23 n° 1 (February 2019)PermalinkContribution au développement d’une plateforme web d’analyse réglementaire et de gestion des vols de drones / Yassmine Boudili (2019)PermalinkPermalinkGéomatique webmapping en open source / David Collado (2019)PermalinkPermalinkPermalinkA method for checking the quality of geographic metadata based on ISO 19157 / Manuel A. Ureña-Cámara in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)PermalinkPermalinkPermalinkRéorganisation du SIG et valorisation des données du Parc Naturel Régional du Gâtinais français / Paul Roux (2019)PermalinkSimultaneous characterization of objects temperature and radiative properties through multispectral infrared thermography / Thibaud Toullier (2019)PermalinkA spatiotemporal calculus for reasoning about land-use trajectories / Adeline Marinho Maciel in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)PermalinkVectorisation du cadastre ancien : restructuration de la chaîne de traitement, implémentation d’une nouvelle méthode de détection et utilisation de la théorie des graphes / Antony Chalais (2019)PermalinkWebscraping, bigdata et analyse spatiale de données immobilières : réponse à un projet ESPON au sein de l'UMS RIATE / Marc Lieury (2019)PermalinkPrecise DEM extraction from Svalbard using 1936 high oblique imagery / Luc Girod in Geoscientific instrumentation methods and data systems, vol 7 n° 4 ([01/10/2018])PermalinkThe design and testing of 3DmoveR: an experimental tool for usability studies of interactive 3D maps / Lukas Herman in Cartographic perspectives, n° 90 ([01/10/2018])PermalinkModélisation 3D de la végétation sur le territoire de Rennes Métropole (Partie 2) / Coralie Leblan in Géomatique expert, n° 124 (septembre - octobre 2018)PermalinkCAVIAR: an R package for checking, displaying and processing wood-formation-monitoring data / Cyrille B.K. Rathgeber in Tree Physiology, vol 38 n° 8 (August 2018)PermalinkDesign and implementation of a 4D Web application for analytical visualization of smart city applications / Syed Monjur Murshed in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkVoronoi tessellation on the ellipsoidal earth for vector data / Christos Kastrisios in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkThe map as knowledge base / Dalia E. Varanka in International journal of cartography, vol 4 n° 2 (June 2018)PermalinkGeodetic VLBI with an artificial radio source on the Moon : a simulation study / Grzegorz Klopotek in Journal of geodesy, vol 92 n° 5 (May 2018)PermalinkSynchronising geometric representations for map mashups using relative positioning and Linked Data / Weiming Huang in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)PermalinkUn modèle pour l’intégration spatiale et temporelle de données géolocalisées / Helbert Arenas in Revue internationale de géomatique, vol 28 n° 2 (avril - juin 2018)PermalinkTraitement d’image en Python avec RSGISLib / Anonyme in Géomatique expert, n° 121 (mars - avril 2018)PermalinkRAPTOR: Row and position tracheid organizer in R [technical note] / Richard L. Peters in Dendrochronologia, vol 47 (February 2018)PermalinkAdapting an existing semi-automatized image processing chain to enable Sentinel-2 data classification. / Hiyam Elbadri (2018)PermalinkPermalinkAn (almost) automated process to track the Martians dunes : ac.GetPreciseShifts / Arthur Coqué (2018)PermalinkPermalinkCaractérisation et qualification de Modèles Numériques de Surfaces (MNS) - Analyse de la cohérence avec des masques d’eau / Guillaume Sutter (2018)PermalinkPermalinkDevelopment of a Protocol to Convert and Manage Underground Infrastructure Maps into Geographic Information Systems (GIS) Format / Guillemette Fonteix (2018)PermalinkDéveloppement d'un outil de manipulation optimisée de rasters volumineux / Amaury Zarzelli (2018)PermalinkDéveloppement pour l’interface Qgis d’Hydra, logiciel de modélisation hydraulique / Maximilien Jaffrès (2018)PermalinkPermalinkGenerating terrestrial glacier views from historic airphotos for comparison with contemporary ground photographs / Marion Holst (2018)PermalinkHarmonisation de données géographiques hétérogènes décrivant le réseau d’assainissement francilien / Laurie Nino (2018)PermalinkPermalinkPermalinkMachine learning and pose estimation for autonomous robot grasping with collaborative robots / Victor Talbot (2018)PermalinkPermalinkSystèmes d'information géographique / Yves Auda (2018)PermalinkTesting, analysis and improvement of FGI-NLS Sentinel-2 data processing chain for land use applications / Emile Blettery (2018)PermalinkUse of satellite image classifications to update and enhance a land cover database / Mohamed Touiti (2018)PermalinkA GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model / D. Prieto Herráez in International journal of geographical information science IJGIS, vol 31 n° 11-12 (November - December 2017)PermalinkGeolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth / Antoine Triantafyllou in International journal of applied Earth observation and geoinformation, vol 62 (October 2017)PermalinkHub Labels on the database for large-scale graphs with the COLD framework / Alexandros Efentakis in Geoinformatica, vol 21 n° 4 (October - December 2017)PermalinkUne chaîne de données pour évaluer la qualité des données OSM. Partie 1 : Extraction des données et description / Damien Garaud in Géomatique expert, n° 117 (juillet - août 2017)PermalinkEnhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation / Olle Järv in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)PermalinkPopularity-aware collective keyword queries in road networks / Sen Zhao in Geoinformatica, vol 21 n° 3 (July - September 2017)Permalinkvol 21 n° 3 - July - September 2017 - Special issue [included] on Map interaction (Bulletin de Geoinformatica) / Christian KrayPermalinkA virtual globe-based visualization and interactive framework for a small craft navigation assistance system in the near sea / Xinzhu Liu in Journal of Traffic and Transportation Engineering (English Edition), n° (April 2017)PermalinkAutomatisation de l’acquisition et du traitement des images Sentinel-2 pour le calcul d’indices de végétation aidant à la prévention des pics de paludisme à Madagascar / Charlotte Wolff (2017)PermalinkPermalinkDéveloppement d'un outil cartographique dasymétrique pour la modélisation de la répartition de densité de population / Safa Fennia (2017)PermalinkEtude et méthodes d'intégration et d'interaction de données 3D complexes type "nuages de points" vers un web SIG / Victor Lambert (2017)PermalinkPermalinkPermalinkPermalinkPermalinkMise en place d’un processus de dessin automatisé de plans d’intérieurs à partir de nuages de points acquis par LIDAR / Léa Talec (2017)PermalinkModèles géographiques avec le langage Mathematica / André Dauphiné (2017)PermalinkTraitement de données LiDAR pour la modélisation d'indicateurs de biodiversité forestière / Sylvain Jourdana (2017)PermalinkUtilisation de données satellites dans le combat contre l'esclavage moderne / Florent Negrel-Teodori (2017)PermalinkUtilisation d’image THR et drone pour l’étude de la dynamique côtière d’Ouvéa (Île des Loyautés - Nouvelle Calédonie) / Sabrina Bosque (2017)PermalinkUtilisation d’un modèle numérique de hauteur en stratification des données de l’Inventaire Forestier National / Sophie Georges (2017)PermalinkParallel cartographic modeling: a methodology for parallelizing spatial data processing / Eric Shook in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkPermalinkAn interactive tool for semi-automatic feature extraction of hyperspectral data / Zoltan Kovacs in Open geosciences, vol 8 n° 1 (January - July 2016)PermalinkFrom taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping / Nicholas Gould in Cartography and Geographic Information Science, Vol 43 n° 3 (June 2016)PermalinkA generic model to exploit urban regulation knowledge / Mickaël Brasebin in ISPRS International journal of geo-information, vol 5 n° 2 (February 2016)PermalinkQualitative GIS: An Open Framework Using SpatiaLite and Open Source GIS / Ryan Garnett in Transactions in GIS, vol 20 n° 1 (February 2016)PermalinkPermalinkPermalinkA computational introduction to digital image processing / Alasdair McAndrew (2016)PermalinkPermalinkJoining spatial distribution visualisation tools with social media data using free and open source software : extended abstract / Mayra Zurbaran (2016)PermalinkPermalinkMise en place de procédures automatiques en vue d’accélérer la production des plans topographiques au sein de l’entreprise Techni Drone / Kévin Javerliat (2016)PermalinkA multiscale masking method for point geographic data / K.C. Clarke in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)PermalinkPermalinkModélisation, simulation et analyse de propriétés de réseaux orbitèles / Didier Josselin in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)PermalinkOpenEventMap: A volunteered location-based service / Katereh Polous in Cartographica, vol 50 n° 4 (Winter 2015)PermalinkA dimension-independent extrusion algorithm using generalised maps / Ken Arroyo Ohori in International journal of geographical information science IJGIS, vol 29 n° 7 (July 2015)PermalinkPython pour les néophytes (12) / Anonyme in Géomatique expert, n° 104 (mai - juin 2015)PermalinkState of the art [web mapping] / Steve Pepple in GEO: Geoconnexion international, vol 14 n° 5 (May 2015)PermalinkPython GNSS receiver: An object-oriented software platform suitable for multiple receivers / Eliot Wycoff in GPS world, vol 26 n° 2 (February 2015)PermalinkApplications mobiles avec Cordova et PhoneGap / Sébastien Pittion (2015)PermalinkAutomatisation des cartes d’incidences Natura 2000 sur le Massif de Fontainebleau / Yann Petit (2015)PermalinkPermalinkModalités de représentation en 3D de données issues du SIG2D, pour la conception et la simulation / Olivier Jest (2015)PermalinkA novel approach for generating routable road maps from vehicle GPS traces / Jing Wang in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)PermalinkPermalinkPostGIS : Introduction / Fabien Guerreiro (2015)PermalinkPermalinkPermalinkPython pour les néophytes (11), interfaces graphiques / Anonyme in Géomatique expert, n° 102 (janvier - février 2015)PermalinkPermalinkPermalinkA student's guide to Python for physical modeling / Jesse M. Kinder (2015)PermalinkPermalinkPublishing deep web geographic data / Helena Piccinini in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkBases de données NO SQL et SIG : d'un existant restreint à un avenir prometteur / Christian Carolin in Géomatique expert, n° 100 (01/09/2014)PermalinkDéveloppement et exploitation d'un produit de type "image solide". Application à l'analyse géostructurale des ouvrages rocheux de la SNCF / Antoine Gozé in XYZ, n° 140 (septembre - novembre 2014)PermalinkImpact du changement climatique sur les sécheresses en Bretagne. Automatisation d’un bilan hydrique avec ArcGis et Python / Chloé Lamy in Revue internationale de géomatique, vol 24 n° 3 (septembre - novembre 2014)PermalinkPython pour les néophytes (10) : plus de géomatique / Anonyme in Géomatique expert, n° 99 (01/07/2014)PermalinkPython pour les néophytes (9) : traitement d'image (1) / Anonyme in Géomatique expert, n° 98 (01/06/2014)PermalinkSLIDER: Software for LongItudinal Data Exploration with R / Hadrien Commenges in Cybergeo, European journal of geography, n° 2014 ([01/06/2014])PermalinkPython pour les néophytes (8) : bibliothèques (2) / Anonyme in Géomatique expert, n° 97 (01/03/2014)PermalinkAlgorithmique et programmation en Java / V. Granet (2014)PermalinkPermalinkPermalinkPermalinkInitiation à l'algorithmique et à la programmation en C / Rémy Malgouyres (2014)PermalinkMise en place d'un catalogue de données et de services géographiques / Grégory Pain (2014)PermalinkPython pour les néophytes (7) : les entrées-sorties / Anonyme in Géomatique expert, n° 96 (01/01/2014)PermalinkPermalinkPermalinkRetour aux sources / Anonyme in Géomatique expert, n° 96 (01/01/2014)PermalinkThe PyQGIS programmer's guide / Gary Sherman (2014)PermalinkPermalinkUML 2, de l’apprentissage à la pratique [Cours et exercices] / Laurent Audibert (2014)Permalink