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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]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]Linking spatial named entities to the web of data for geographical analysis of historical texts / Pierre-Henri Paris in Journal of Map & Geography Libraries, vol 13 n° 1 ([01/05/2017])
[article]
Titre : Linking spatial named entities to the web of data for geographical analysis of historical texts Type de document : Article/Communication Auteurs : Pierre-Henri Paris, Auteur ; Nathalie Abadie , Auteur ; Carmen Brando , Auteur ; Carmen Brando , Auteur Année de publication : 2017 Projets : 2-Pas d'info accessible - article non ouvert / Article en page(s) : pp 82 - 110 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] base de connaissances
[Termes IGN] corpus
[Termes IGN] entité géographique
[Termes IGN] exploration de texte
[Termes IGN] reconnaissance de noms
[Termes IGN] web des donnéesRésumé : (auteur) In our work, we are interested in facilitating the exploration by scholars of the geography of texts: in particular, historical narrative texts describing routes. Semantic annotation constitutes the first step to enrich such text with the necessary information for producing analytical maps. The present article focuses on the disambiguation of spatial named entities (SNE) by the attribution of an identifier of the ever-growing Web of Data. This giant knowledge base (KB) provides qualitative spatial information about geographic entities, in particular spatial relations such as (:Paris :southOf :Lille), (:Paris :country :France). We thus propose a graph-matching algorithm relying on the A* algorithm and graph-edit distances for choosing the best referent in the KB for the SNE. We performed preliminary experiments and noted the clear gain in performance. We propose some examples of maps that are built semi-automatically. Finally, we draw conclusions and describe our plans of future work. Numéro de notice : A2017-865 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15420353.2017.1307306 Date de publication en ligne : 11/05/2017 En ligne : https://doi.org/10.1080/15420353.2017.1307306 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89872
in Journal of Map & Geography Libraries > vol 13 n° 1 [01/05/2017] . - pp 82 - 110[article]Rule-guided human classification of Volunteered Geographic Information / Ahmed Loai Ali in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)
[article]
Titre : Rule-guided human classification of Volunteered Geographic Information Type de document : Article/Communication Auteurs : Ahmed Loai Ali, Auteur ; Zoe Falomir, Auteur ; Falko Schmid, Auteur ; Christian Freksa, Auteur Année de publication : 2017 Article en page(s) : pp 3 – 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] classification
[Termes IGN] données descriptives
[Termes IGN] données localisées des bénévoles
[Termes IGN] données multisources
[Termes IGN] exploration de données
[Termes IGN] imprécision des données
[Termes IGN] production participative
[Termes IGN] règle d'association
[Termes IGN] relation topologiqueRésumé : (auteur) During the last decade, web technologies and location sensing devices have evolved generating a form of crowdsourcing known as Volunteered Geographic Information (VGI). VGI acted as a platform of spatial data collection, in particular, when a group of public participants are involved in collaborative mapping activities: they work together to collect, share, and use information about geographic features. VGI exploits participants’ local knowledge to produce rich data sources. However, the resulting data inherits problematic data classification. In VGI projects, the challenges of data classification are due to the following: (i) data is likely prone to subjective classification, (ii) remote contributions and flexible contribution mechanisms in most projects, and (iii) the uncertainty of spatial data and non-strict definitions of geographic features. These factors lead to various forms of problematic classification: inconsistent, incomplete, and imprecise data classification. This research addresses classification appropriateness. Whether the classification of an entity is appropriate or inappropriate is related to quantitative and/or qualitative observations. Small differences between observations may be not recognizable particularly for non-expert participants. Hence, in this paper, the problem is tackled by developing a rule-guided classification approach. This approach exploits data mining techniques of Association Classification (AC) to extract descriptive (qualitative) rules of specific geographic features. The rules are extracted based on the investigation of qualitative topological relations between target features and their context. Afterwards, the extracted rules are used to develop a recommendation system able to guide participants to the most appropriate classification. The approach proposes two scenarios to guide participants towards enhancing the quality of data classification. An empirical study is conducted to investigate the classification of grass-related features like forest, garden, park, and meadow. The findings of this study indicate the feasibility of the proposed approach. Numéro de notice : A2017-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85093
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 3 – 15[article]Réservation
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[n° ou bulletin]
est un bulletin de Geomatica / Canadian institute of geomatics = Association canadienne des sciences géomatiques (Canada) (1993 -)
Titre : vol 21 n° 2 - April - June 2017 Type de document : Périodique Année de publication : 2017 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web Numéro de notice : sans Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://link.springer.com/journal/10707/21/2/page/1 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=28013 [n° ou bulletin]Contient
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- Design principles of a stream-based framework for mobility analysis / Loic Salmon in Geoinformatica, vol 21 n° 2 (April - June 2017)
- Distributed processing of big mobility data as spatio-temporal data streams / Zdravko Galić in Geoinformatica, vol 21 n° 2 (April - June 2017)
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Massad in Survey review, vol 47 n° 344 (September 2015)PermalinkAn integrated heterogeneous web service retrieval via combination of instance- and metadata-based schema matching method / Jie He in Geo-spatial Information Science, vol 18 n° 2 (August 2015)PermalinkCreating geo-enabled hand-drawn maps: an experiment of user-generated mobile mapping / Min Lu in International journal of cartography, vol 1 n° 1 (August 2015)PermalinkGenerating more maps from spatial big data : new tools needed to meet the neocartography challenge / Nicolas Regnauld in Position, n° 78 (August - September 2015)PermalinkWeb services for dynamic coloring of UAVSAR images / Jun Wang in Pure and applied geophysics, vol 172 n° 8 (August 2015)PermalinkBeyond the basemap / Matt Toon in GEO: Geoconnexion international, vol 14 n° 7 (July 2015)PermalinkRecommendations in location-based social networks: a survey / Jie Bao in Geoinformatica, vol 19 n° 3 (July - September 2015)PermalinkA service-oriented architecture to enable participatory planning: an e-planning platform / M. Ebrahim Poorazizi in International journal of geographical information science IJGIS, vol 29 n° 7 (July 2015)PermalinkThe TM-RTree: an index on generic moving objects for range queries / Jianqiu Xu in Geoinformatica, vol 19 n° 3 (July - September 2015)PermalinkWho owns paradise? Using web mapping to enhance a geography course exercise about tropical forest conservation / Mikaela J. Weisse in Journal of maps, vol 11 n° 3 ([01/07/2015])PermalinkzForest : un prototype de plateforme web de covisualisation Lidar, raster et vecteur à grande échelle / David Vandergucht in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkPermalinkCharacterizing the heterogeneity of the OpenStreetMap data and community / Ding Ma in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)PermalinkConstruire une scène web 3D dans ArcGIS Pro / Xavier Fodor in SIGmag, n° 5 (juin 2015)PermalinkEducation and training on web mapping and the geospatial web / Emmanuel Stefanakis in Geomatica, vol 69 n° 2 (June 2015)PermalinkenviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data / Arne Bröring in Transactions in GIS, vol 19 n° 3 (June 2015)PermalinkPermalinkIntegrative representation and inference of qualitative locations about points, lines, and polygons / Shihong Du in International journal of geographical information science IJGIS, vol 29 n° 6 (June 2015)PermalinkPoints of interest recommendation from GPS trajectories / Yaqiong Liu in International journal of geographical information science IJGIS, vol 29 n° 6 (June 2015)PermalinkA structural-lexical measure of semantic similarity for geo-knowledge graphs / Andrea Ballatore in ISPRS International journal of geo-information, vol 4 n°2 (June 2015)PermalinkVariation du niveau d’abstraction dans le cadre de l’opérateur de zoom sémantique / Géraldine Del Mondo in Revue internationale de géomatique, vol 25 n° 2 (juin - 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2 (January - February 2015)PermalinkIntégration et enrichissement des données de génie civil RATP avec l’API Géoportail / Baptiste Gomot (2015)PermalinkA method based on graphic entity for visualizing complex map symbols on the web / Jinqu Zhang in Cartography and Geographic Information Science, Vol 42 n° 1 (January 2015)PermalinkProceedings of the 9th Workshop on Geographic Information Retrieval, GIR'2015 / Ross S. Purves (2015)PermalinkA comprehensive framework for intrinsic OpenStreetMap quality analysis / Christopher Barron in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkExploring and visualizing differences in geographic and linguistic web coverage / Ramya Venkateswaran in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkTowards a conceptual framework for WikiGIS / Wided Batita in Future internet, vol 6 n° 4 (December 2014)PermalinkEye tracking to explore the potential of enhanced imagery basemaps in web mapping / Weihua Dong in Cartographic journal (the), vol 51 n° 4 (November 2014)PermalinkAn evaluative baseline for geo-semantic relatedness and similarity / Andrea Ballatore in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkAnalysis of interaction and co-editing patterns amongst Openstreetmap contributors / Peter Mooney in Transactions in GIS, vol 18 n° 5 (October 2014)PermalinkPermalinkLarge-scale geo-tagged video indexing and queries / He Ma in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkLocation privacy models in mobile applications: conceptual view and research directions / Maria luisa Damiani in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkPublishing deep web geographic data / Helena Piccinini in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkCartographie web et mobile / Michael P. Peterson in Cartes & Géomatique, n° 221 (septembre 2014)PermalinkDeveloping the EPA geoportal / Fiona O'rourke in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)PermalinkGeoint: of the people, by the people, for the people / Anonyme in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)PermalinkInformation géographique collaborative / Serena Coetzee in Cartes & Géomatique, n° 221 (septembre 2014)PermalinkKeolis Lyon expérimente avec ArcGis OnLine / Anonyme in Géomatique expert, n° 100 (01/09/2014)PermalinkMobilité : l'embarras du choix / Françoise de Blomac in DécryptaGéo le mag, n° 159 (01/09/2014)PermalinkPlanETer online / L. Darmayan in Géomatique expert, n° 100 (01/09/2014)PermalinkDefacing the map : cartographic vandalism in the digital commons / Andrea Ballatore in Cartographic journal (the), vol 51 n° 3 (August 2014)PermalinkGeospatial collaboration in the cloud / Patrick Collins in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)PermalinkAn efficient approach to load balancing of vector maps in cyberGIS cluster environment / Mingqiang Guo in Geomatica, vol 68 n° 2 (June 2014)PermalinkL'Atlas des patrimoines : une entrée privilégiée sur le domaine patrimonial / Geneviève Pinçon in Cartes & Géomatique, n° 220 (juin - août 2014)PermalinkBaignade interdite et succès inattendu / Anonyme in Géomatique expert, n° 98 (01/06/2014)PermalinkPatrimoine archéologique et système d'information géographique / Thierry Lorho in Cartes & Géomatique, n° 220 (juin - août 2014)PermalinkA process for keeping pace with evolving Web Mapping technologies / Robert Emmett Roth in Cartographic perspectives, n° 78 (february 2014)PermalinkSemantic Web and service computation in GIScience applications: a perspective and prospective / X. Shi in Geocarto international, vol 29 n° 3 - 4 (June - July 2014)PermalinkThe GeoCitizen-approach: community-based spatial planning, an Ecuadorian case study / Karl Atamanstorfer in Cartography and Geographic Information Science, vol 41 n° 3 (June 2014)PermalinkUsing distributed map overlay and layer opacity for visual multi-criteria analysis / Michael Markieta in Geomatica, vol 68 n° 2 (June 2014)PermalinkWeb-based 4D visualization of marine geo-data using WebGL / Bernd Resch in Cartography and Geographic Information Science, vol 41 n° 3 (June 2014)PermalinkThree dimensional volunteered geographic information: A prototype of a social virtual globe / Maria Antonia Brovelli in International journal of 3-D information modeling, vol 3 n° 2 (April - June 2014)PermalinkCrowdsourcing as a tool for knowledge acquisition in spatial planning / Chrysaida-Aliki Papadopoulou in Future internet, vol 6 n° 1 (March 2014)PermalinkSpatial collective intelligence? Credibility, accuracy, and volunteered geographic information / Seth Spielman in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)PermalinkVallée des merveilles : relevés topographiques et SIG archéologique / Gabriel Vatin in XYZ, n° 138 (mars - mai 2014)PermalinkAnalyzing relatedness by toponym co-occurrences on web pages / Yu Liu in Transactions in GIS, vol 18 n° 1 (February 2014)PermalinkManaging Germany's big imagery data / Mladen Stojic in GEO: Geoconnexion international, vol 13 n° 2 (february 2014)PermalinkAbstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)PermalinkPermalink