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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
- Panda∗: A generic and scalable framework for predictive spatio-temporal queries / Abdeltawab M. Hendawi in Geoinformatica, vol 21 n° 2 (April - June 2017)
- 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)
Demand and supply of cultural ecosystem services: Use of geotagged photos to map the aesthetic value of landscapes in Hokkaido / Nobuhiko Yoshimura in Ecosystem Services, vol 24 (April 2017)PermalinkLes pratiques de cartographie animée pour représenter le changement / Claire Cunty in Mappemonde, n° 120 (Avril 2017)PermalinkAn effective approach to estimating computing time of vector data spatial computational domains in WebGIS / Mingqiang Guo in Geomatica, vol 71 n° 1 (March 2017)PermalinkVol 44 n° 2 - March 2017 - Crowdsourced Mapping (Bulletin de Cartography and Geographic Information Science)PermalinkEngaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)PermalinkThe importance of context : assessing the benefits and limitations of participatory mapping for empowering indigenous communities in the comarca Ngäbe-Buglé, Panama / Derek A. Smith in Cartographica, vol 52 n° 1 (Spring 2017)PermalinkThe rise of the mobile cartographer / Jordi Estrada in GEO: Geoconnexion international, vol 16 n° 3 (March 2017)PermalinkPermalinkPermalinkPermalinkAssessing the positional planimetric accuracy of DBpedia georeferenced resources / Abdelfettah Feliachi (2017)PermalinkPermalinkEtude et méthodes d'intégration et d'interaction de données 3D complexes type "nuages de points" vers un web SIG / Victor Lambert (2017)PermalinkPermalinkLa géomatique comme aide à la décision dans le domaine de la santé / Lise Le Lann (2017)PermalinkInterconnexion et visualisation de ressources géoréférencées du Web de données à l’aide d’un référentiel topographique de support / Abdelfettah Feliachi (2017)PermalinkPermalinkPermalinkMapping and the citizen sensor, ch 10. The relevance of protocols for VGI collection / Marco Minghini (2017)PermalinkPermalink