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A lightweight approach for the sensor observation service to share environmental data across Europe / S. Jirka in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 293 - 312 Titre : A lightweight approach for the sensor observation service to share environmental data across Europe Type de document : Article/Communication Auteurs : S. Jirka, Auteur ; P. Kjeld, Auteur ; A. Wytzik, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 293 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] données environnementales [Termes IGN] données hétérogènes [Termes IGN] échange de données informatisé [Termes IGN] infrastructure européenne de données localisées [Termes IGN] interopérabilité [Termes IGN] partage de données localisées [Termes IGN] Sensor Web Enablement [Termes IGN] temps réel [Termes IGN] Union Européenne Résumé : (Auteur) The importance of near real-time access to environmental data has increased steadily over the last few years. In this article, the focus is on the European Environment Agency (EEA), which receives environmental data from a large number of providers. The heterogeneous data formats and data transfer mechanisms make the data collection and integration a difficult task for the EEA. An approach is needed for facilitating the interoperable exchange of environmental data on a large scale. A core element of this approach is the Sensor Web Enablement (SWE) technology of the Open Geospatial Consortium (OGC) which allows the standardized, interoperable, vendor and domain independent exchange of sensor data. The main contribution of this article is a lightweight profile for the OGC Sensor Observation Service that ensures the necessary interoperability for seamlessly integrating the environmental data provided by the EEA's member states and thus forms the foundation for the developed data exchange mechanisms. This is complemented by information about the resulting Sensor Web architecture and the integration into the EEA's existing IT infrastructure. In summary, this article describes a practical scenario in which SWE technology enables the exchange of near real-time environmental data on a large scale. Numéro de notice : A2012-278 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01324.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01324.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31724 [article]

An ontology-driven framework and web portal for spatial decision support / N. Li in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 313 - 329 Titre : An ontology-driven framework and web portal for spatial decision support Type de document : Article/Communication Auteurs : N. Li, Auteur ; Michael F. Goodchild, Auteur ; R. Raskin, Auteur ; Krzysztof Janowicz, Auteur Année de publication : 2012 Article en page(s) : pp 313 - 329 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] données localisées [Termes IGN] ontologie [Termes IGN] outil d'aide à la décision [Termes IGN] portail [Termes IGN] web sémantique Résumé : (Auteur) Numerous systems and tools have been developed for spatial decision support (SDS), but they generally suffer from a lack of re-usability, inconsistent terminology, and weak conceptualization. We introduce a collaborative effort by the SDS Consortium to build a SDS knowledge portal. We present the formal representation of knowledge about SDS, the various ontologies captured and made accessible by the portal, and the processes used to create them. We describe the portal in action, and the ways in which users can search, browse, and make use of its content. Finally, we discuss the lessons learned from this effort, and future development directions. Our work demonstrates how ontologies and semantic technologies can support the documentation and retrieval of dynamic knowledge in GIScience by offering flexible schemata instead of fixed data structures. Numéro de notice : A2012-279 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01325.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01325.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31725 [article]

Geospatial human-environment simulation through integration of massive multiplayer online games and geographic information systems / O. Ahlqvist in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 331 - 350 Titre : Geospatial human-environment simulation through integration of massive multiplayer online games and geographic information systems Type de document : Article/Communication Auteurs : O. Ahlqvist, Auteur ; J. Ramanathan, Auteur ; T. Loffing, Auteur ; A. Kocher, Auteur Année de publication : 2012 Article en page(s) : pp 331 - 350 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] artefact [Termes IGN] intégration de données [Termes IGN] jeu en ligne [Termes IGN] modélisation sémantique [Termes IGN] système d'information géographique [Termes IGN] visualisation cartographique Résumé : (Auteur) This article reports on the initial development of a generic framework for integrating Geographic Information Systems (GIS) with Massive Multi-player Online Gaming (MMOG) technology to support the integrated modeling of human-environment resource management and decision-making. We review Web 2.0 concepts, online maps, and games as key technologies to realize a participatory construction of spatial simulation and decision making practices. Through a design-based research approach we develop a prototype framework, “GeoGame”, that allows users to play board-game-style simulations on top of an online map. Through several iterations, we demonstrate the implementation of a range of design artifacts including: real-time, multi-user editing of online maps, web services, game lobby, user-modifiable rules and scenarios building, chat, discussion, and market transactions. Based on observational, analytical, experimental and functional evaluations of design artifacts as well as a literature review, we argue that a MMO GeoGame-framework offers a viable approach to address the complex dynamics of human-environmental systems that require a simultaneous reconciliation of both top-down and bottom-up decision making where stakeholders are an integral part of a modeling environment. Further research will offer additional insight into the development of social-environmental models using stakeholder input and the use of such models to explore properties of complex dynamic systems. Numéro de notice : A2012-280 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01340.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01340.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31726 [article]

Observation-driven geo-ontology engineering / Krzysztof Janowicz in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 351 - 374 Titre : Observation-driven geo-ontology engineering Type de document : Article/Communication Auteurs : Krzysztof Janowicz, Auteur Année de publication : 2012 Article en page(s) : pp 351 - 374 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] accessibilité [Termes IGN] données hétérogènes [Termes IGN] données localisées des bénévoles [Termes IGN] données massives [Termes IGN] ontologie [Termes IGN] traitement de données [Termes IGN] web 2.0 Résumé : (Auteur) Big Data, Linked Data, Smart Dust, Digital Earth, and e-Science are just some of the names for research trends that surfaced over the last years. While all of them address different visions and needs, they share a common theme: How do we manage massive amounts of heterogeneous data, derive knowledge out of them instead of drowning in information, and how do we make our findings reproducible and reusable by others? In a network of knowledge, topics span across scientific disciplines and the idea of domain ontologies as common agreements seems like an illusion. In this work, we argue that these trends require a radical paradigm shift in ontology engineering away from a small number of authoritative, global ontologies developed top-down, to a high number of local ontologies that are driven by application needs and developed bottom-up out of observation data. Similarly as the early Web was replaced by a social Web in which volunteers produce data instead of purely consuming it, the next generation of knowledge infrastructures has to enable users to become knowledge engineers themselves. Surprisingly, existing ontology engineering frameworks are not well suited for this new perspective. Hence, we propose an observation-driven ontology engineering framework, show how its layers can be realized using specific methodologies, and relate the framework to existing work on geo-ontologies. Numéro de notice : A2012-281 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01342.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01342.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31727 [article]

Discovering spatial patterns in origin-destination mobility data / D. Guo in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 411 - 429 Titre : Discovering spatial patterns in origin-destination mobility data Type de document : Article/Communication Auteurs : D. Guo, Auteur ; Hongxiao Jin, Auteur ; C. Andris, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 411 - 429 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] analyse spatiale [Termes IGN] base de données d'objets mobiles [Termes IGN] cartographie des flux [Termes IGN] distribution spatiale [Termes IGN] données spatiotemporelles [Termes IGN] Kouangtoung (Chine) [Termes IGN] mobilité urbaine [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] origine - destination [Termes IGN] positionnement par GPS [Termes IGN] trajectographie par GPS [Termes IGN] transport urbain [Termes IGN] véhicule automobile Résumé : (Auteur) Mobility and spatial interaction data have become increasingly available due to the wide adoption of location-aware technologies. Examples of mobility data include human daily activities, vehicle trajectories, and animal movements, among others. In this article, we focus on a special type of mobility data, i.e. origin-destination pairs, and present a new approach to the discovery and understanding of spatio-temporal patterns in the movements. Specifically, to extract information from complex connections among a large number of point locations, the approach involves two steps: (1) spatial clustering of massive GPS points to recognize potentially meaningful places; and (2) extraction and mapping of the flow measures of clusters to understand the spatial distribution and temporal trends of movements. We present a case study with a large dataset of taxi trajectories in Shenzhen, China to demonstrate and evaluate the methodology. The contribution of the research is two-fold. First, it presents a new methodology for detecting location patterns and spatial structures embedded in origin-destination movements. Second, the approach is scalable to large data sets and can summarize massive data to facilitate pattern extraction and understanding. Numéro de notice : A2012-282 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01344.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01344.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31728 [article]

Approximation theory applied to DEM vertical accuracy assessment / X. Liu in Transactions in GIS, vol 16 n° 3 (June 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 3 (June 2012) . - pp 397 - 410 Titre : Approximation theory applied to DEM vertical accuracy assessment Type de document : Article/Communication Auteurs : X. Liu, Auteur ; P. Hu, Auteur ; H. Hu, Auteur ; J. Sherda, Auteur Année de publication : 2012 Article en page(s) : pp 397 - 410 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] approximation [Termes IGN] estimation statistique [Termes IGN] interpolation linéaire [Termes IGN] modèle numérique de surface [Termes IGN] précision altimétrique [Termes IGN] précision du positionnement Résumé : (Auteur) Existing research on DEM vertical accuracy assessment uses mainly statistical methods, in particular variance and RMSE which are both based on the error propagation theory in statistics. This article demonstrates that error propagation theory is not applicable because the critical assumption behind it cannot be satisfied. In fact, the non-random, non-normal, and non-stationary nature of DEM error makes it very challenging to apply statistical methods. This article presents approximation theory as a new methodology and illustrates its application to DEMs created by linear interpolation using contour lines as the source data. Applying approximation theory, a DEM's accuracy is determined by the largest error of any point (not samples) in the entire study area. The error at a point is bounded by max(|?mode|+M2h2/8) where |?node| is the error in the source data used to interpolate the point, M2 is the maximum norm of the second-order derivative which can be interpreted as curvature, and h is the length of the line on which linear interpolation is conducted. The article explains how to compute each term and illustrates how this new methodology based on approximation theory effectively facilitates DEM accuracy assessment and quality control. Numéro de notice : A2012-283 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01343.x Date de publication en ligne : 28/05/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01343.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31729 [article]