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Web mercator and raster tile maps : two cornerstones of online map service providers / Emmanuel Stefanakis in Geomatica, vol 71 n° 2 (June 2017)
[article]
Titre : Web mercator and raster tile maps : two cornerstones of online map service providers Type de document : Article/Communication Auteurs : Emmanuel Stefanakis, Auteur Année de publication : 2017 Article en page(s) : pp 100 - 109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] dalle
[Termes IGN] données maillées
[Termes IGN] projection Universal Transverse Mercator
[Termes IGN] web mappingRésumé : (Auteur)[introduction] The popularity of online map service providers, such as Google Maps, Bing Maps, ArcGIS Online, and OpenStreetMap, has rapidly grown in recent years. It is hard for younger people to imagine and for older people to remember a world without web maps (or, in the same way, without mobile phones), a world that was the reality less than a dozen years ago. Throughout these years, the developers of online map service providers had to address numerous technological challenges. They were called to provide efficient solutions and increase the popularity of the services by delivering voluminous map data to an ever increasing number of web users; and all that over a web infrastructure with severe limitations (low speed, compatibility issues, etc.). Apparently, they had to take important decisions that have eventually affected the technological developments and have imposed de facto standardizations on the online mapping domain. Inevitably, some of these decisions have also had an impact on well-established rules for visualization and delivery of digital maps over the Web. This article focuses onto two corner stones of modern online map services: Web Mercator Projection and Raster Tile Maps. Four hundred and fifty years after the Flemish geographer and cartographer Gerardus Mercator published the most popular map projection ever, Google introduced the Web Mercator variant, which, despite its initial rejection by cartographic committees as “an inappropriate geodesy and cartography,” rapidly became a de facto standard and was adopted by most online map service providers. The tiling of large maps is an old practice. Large paper maps have always been divided into a series of map sheets at various scales. With the increasing popularity of web mapping applications and the rapid growth of map data availability, the pre-computation and caching of map image tiles has become a common practice in online map services, as they use far fewer server resources than maps rendered on demand. The creation of map tiles depends on a series of properties (shape and size of tiles, numbering of zoom levels, subdivision scheme of a tile, etc.). Combining tiles from various servers, including online map providers, might involve some simple or complex transformations. Over the last decade, the values for the above properties have been standardized to facilitate the interoperability between data and applications. The content of this article is organized as follows. Section 2 briefly presents the framework of map services over the Web and describes the technological and cartographical challenges faced by online providers. Section 3 explains the roots and properties of Web Mercator projection. Section 4 describes the map tiles and cached map services. Finally, Section 5 concludes the discussion. Numéro de notice : A2017-846 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.5623/cig2017-203 En ligne : https://doi.org/10.5623/cig2017-203 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89443
in Geomatica > vol 71 n° 2 (June 2017) . - pp 100 - 109[article]A cyber-enabled spatial decision support system to inventory mangroves in Mozambique: coupling scientific workflows and cloud computing / Wenwu Tang in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)
[article]
Titre : A cyber-enabled spatial decision support system to inventory mangroves in Mozambique: coupling scientific workflows and cloud computing Type de document : Article/Communication Auteurs : Wenwu Tang, Auteur ; Wenpeng Feng, Auteur ; Meijuan Jia, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 907 - 938 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] informatique en nuage
[Termes IGN] inventaire de la végétation
[Termes IGN] lever des détails
[Termes IGN] mangrove
[Termes IGN] modélisation
[Termes IGN] Mozambique
[Termes IGN] synergiciel
[Termes IGN] système d'aide à la décision
[Termes IGN] Zambèze (fleuve)
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Mangroves are an important terrestrial carbon reservoir with numerous ecosystem services. Yet, it is difficult to inventory mangroves because of their low accessibility. A sampling approach that produces accurate assessment while maximizing logistical integrity of inventory operation is often required. Spatial decision support systems (SDSSs) provide support for integrating such a sampling design of fieldwork with operational considerations and evaluation of alternative scenarios. However, this fieldwork design driven by SDSS is often computationally intensive and repetitive. In this study, we develop a cyber-enabled SDSS framework to facilitate the computationally challenging fieldwork design that requires the efficacious selection of base camps and plots for the inventory of mangroves. Our study area is the Zambezi River Delta, Mozambique. Cyber-enabled capabilities, including scientific workflows and cloud computing, are integrated with the SDSS. Scientific workflows enable the automation of data and modeling tasks in the SDSS. Cloud computing offers on-demand computational support for interoperation among stakeholders for collaborative scenario evaluation for the fieldwork design of mangrove inventory. Further, this framework allows for harnessing high-performance computing capabilities for accelerating the fieldwork design. The cyber-enabled framework provides significant merits in terms of effective coordination among science and logistical teams, assurance of meeting inventory objectives, and an objective basis to collectively and efficaciously evaluate alternative scenarios. Numéro de notice : A2017-237 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1250900 En ligne : http://dx.doi.org/10.1080/13658816.2016.1250900 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85171
in International journal of geographical information science IJGIS > vol 31 n° 5-6 (May-June 2017) . - pp 907 - 938[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017031 RAB Revue Centre de documentation En réserve L003 Disponible Developing an integrated cloud-based spatial-temporal system for monitoring phenology / M. Cope in Ecological Informatics, vol 39 (May 2017)
[article]
Titre : Developing an integrated cloud-based spatial-temporal system for monitoring phenology Type de document : Article/Communication Auteurs : M. Cope, Auteur ; E. Mikhailova, Auteur ; C. Post, Auteur ; M. Schlautman, Auteur ; P. McMillan, Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] ArcGIS online
[Termes IGN] données écologiques
[Termes IGN] géovisualisation
[Termes IGN] image Flickr
[Termes IGN] informatique en nuage
[Termes IGN] intégration de données
[Termes IGN] inventaire de la végétation
[Termes IGN] phénologie
[Termes IGN] surveillance écologique
[Termes IGN] web mappingRésumé : (auteur) Geospatial cloud computing offers computing infrastructure, software and data services that enable rapid integration of ecological data from various resources. The objectives of this study were to utilize readily-available and low-cost technology (e.g., GPS–enabled cameras, Cloud photo storage, Google Drive) to create a cloud-based spatial-temporal inventory of plant (including flowering phenology) and other relevant information. An interactive ArcGIS Online Map of Lake Issaqueena, SC with sampling locations of flowering plants allows users to obtain additional information (plant, soil, weather data) by selecting sampling locations or soil polygons. The contents of the map can be filtered using any of the attributes (e.g., growth form) in the data tables by selecting specific information. Plant information can be viewed at custom time intervals using the settings in ArcGIS Online. Spatial patterns (e.g., clustering) in the plant data can be viewed using the ArcGIS Online heat map view. The map can be easily queried and viewed on both computers and hand-held devices. Services from multiple cloud infrastructures can be integrated for use by various species monitoring programs, improving workflow and assessment capabilities. Numéro de notice : A2017-184 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecoinf.2017.04.007 En ligne : http://doi.org/10.1016/j.ecoinf.2017.04.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84751
in Ecological Informatics > vol 39 (May 2017)[article]A scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing / Rémi Cura in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)
[article]
Titre : A scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing Type de document : Article/Communication Auteurs : Rémi Cura, Auteur ; Julien Perret , Auteur ; Nicolas Paparoditis , Auteur Année de publication : 2017 Projets : 3-projet - voir note / Article en page(s) : pp 39 – 56 Note générale : bibliographie
ANRT grant 20130042Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données massives
[Termes IGN] métadonnées
[Termes IGN] semis de points
[Termes IGN] serveur de données localisées
[Termes IGN] système de gestion de bases de données relationnelles
[Termes IGN] traitement d'imageRésumé : (auteur) In addition to more traditional geographical data such as images (rasters) and vectors, point cloud data are becoming increasingly available. Such data are appreciated for their precision and true three-Dimensional (3D) nature. However, managing point clouds can be difficult due to scaling problems and specificities of this data type. Several methods exist but are usually fairly specialised and solve only one aspect of the management problem. In this work, we propose a comprehensive and efficient point cloud management system based on a database server that works on groups of points (patches) rather than individual points. This system is specifically designed to cover the basic needs of point cloud users: fast loading, compressed storage, powerful patch and point filtering, easy data access and exporting, and integrated processing. Moreover, the proposed system fully integrates metadata (like sensor position) and can conjointly use point clouds with other geospatial data, such as images, vectors, topology and other point clouds. Point cloud (parallel) processing can be done in-base with fast prototyping capabilities. Lastly, the system is built on open source technologies; therefore it can be easily extended and customised.
We test the proposed system with several billion points obtained from Lidar (aerial and terrestrial) and stereo-vision. We demonstrate loading speeds in the ∼50 million pts/h per process range, transparent-for-user and greater than 2 to 4:1 compression ratio, patch filtering in the 0.1 to 1 s range, and output in the 0.1 million pts/s per process range, along with classical processing methods, such as object detection.Numéro de notice : A2017-219 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85096
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 39 – 56[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve L003 Disponible 081-2017053 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Spatial query based virtual reality GIS analysis platform / Weixi Wang in Neurocomputing, vol (2017)
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Titre : Spatial query based virtual reality GIS analysis platform Type de document : Article/Communication Auteurs : Weixi Wang, Auteur ; Zhihan Lv, Auteur ; Xiaoming Li, Auteur ; et al., Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] données massives
[Termes IGN] globe virtuel
[Termes IGN] index spatial
[Termes IGN] réalité virtuelle
[Termes IGN] requête spatiale
[Termes IGN] scène virtuelle
[Termes IGN] visualisation 3D
[Termes IGN] WebSIG
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) A virtual reality GIS analysis platform based on spatial query is proposed in this paper. The proposed platform serves 3D digital city and supports integrated VRGIS functions including 3D spatial analysis functions and 3D visualization functions for spatial process. The 3D analysis and visualization of the concerned city massive information are conducted on the platform. The amount of information that can be visualized through this platform is overwhelming, and the GIS-based navigational scheme allows great flexibility in accessing different available data sources. A multi-level mixed three-dimensional space index is built for the virtual scene. Multi-task parallel scheduling and pre-scheduling algorithms are designed to support the distribution and query of spatial data. Experiment result indicates that the designed query algorithm improves the performance of the proposed system. Numéro de notice : A2017-148 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.neucom.2016.06.099 Date de publication en ligne : 11/04/2017 En ligne : http://doi.org/10.1016/j.neucom.2016.06.099 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84643
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