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PolarGlobe : A web-wide virtual globe system for visualizing multidimensional, time-varying, big climate data / Wenwen Li in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1562 - 1582 Titre : PolarGlobe : A web-wide virtual globe system for visualizing multidimensional, time-varying, big climate data Type de document : Article/Communication Auteurs : Wenwen Li, Auteur ; Sizhe Wang, Auteur Année de publication : 2017 Article en page(s) : pp 1562 - 1582 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Arctique [Termes descripteurs IGN] changement climatique [Termes descripteurs IGN] cyberinfrastructure [Termes descripteurs IGN] données massives [Termes descripteurs IGN] données multidimensionnelles [Termes descripteurs IGN] expérience scientifique [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] globe virtuel [Termes descripteurs IGN] image multitemporelle [Termes descripteurs IGN] prototype [Termes descripteurs IGN] rendu (géovisualisation) [Termes descripteurs IGN] webGL [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The increasing research interest in global climate change and the rise of the public awareness have generated a significant demand for new tools to support effective visualization of big climate data in a cyber environment such that anyone from any location with an Internet connection and a web browser can easily view and comprehend the data. In response to the demand, this paper introduces a new web-based platform for visualizing multidimensional, time-varying climate data on a virtual globe. The web-based platform is built upon a virtual globe system Cesium, which is open-source, highly extendable and capable of being easily integrated into a web environment. The emerging WebGL technique is adapted to support interactive rendering of 3D graphics with hardware graphics acceleration. To address the challenges of transmitting and visualizing voluminous, complex climate data over the Internet to support real-time visualization, we develop a stream encoding and transmission strategy based on video-compression techniques. This strategy allows dynamic provision of scientific data in different precisions to balance the needs for scientific analysis and visualization cost. Approaches to represent, encode and decode processed data are also introduced in detail to show the operational workflow. Finally, we conduct several experiments to demonstrate the performance of the proposed strategy under different network conditions. A prototype, PolarGlobe, has been developed to visualize climate data in the Arctic regions from multiple angles. Numéro de notice : A2017-312 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1306863 En ligne : http://dx.doi.org/10.1080/13658816.2017.1306863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85366 [article]

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A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology / Jin Xing in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 3-4 (March - April 2016) . - pp 573 - 593 Titre : A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology Type de document : Article/Communication Auteurs : Jin Xing, Auteur ; Renee E. Sieber, Auteur Année de publication : 2016 Article en page(s) : pp 573 - 593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] changement d'occupation du sol [Termes descripteurs IGN] cyberinfrastructure [Termes descripteurs IGN] dimension temporelle [Termes descripteurs IGN] données maillées [Termes descripteurs IGN] données massives [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] optimisation (mathématiques) [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] segmentation d'image Résumé : (Auteur) Big data have shifted spatial optimization from a purely computational-intensive problem to a data-intensive challenge. This is especially the case for spatiotemporal (ST) land use/land cover change (LUCC) research. In addition to greater variety, for example, from sensing platforms, big data offer datasets at higher spatial and temporal resolutions; these new offerings require new methods to optimize data handling and analysis. We propose a LUCC-based geospatial cyberinfrastructure (GCI) that optimizes big data handling and analysis, in this case with raster data. The GCI provides three levels of optimization. First, we employ spatial optimization with graph-based image segmentation. Second, we propose ST Atom Model to temporally optimize the image segments for LUCC. At last, the first two domain ST optimizations are supported by the computational optimization for big data analysis. The evaluation is conducted using DMTI (DMTI Spatial Inc.) Satellite StreetView imagery datasets acquired for the Greater Montreal area, Canada in 2006, 2009, and 2012 (534 GB, 60 cm spatial resolution, RGB image). Our LUCC-based GCI builds an optimization bridge among LUCC, ST modelling, and big data. Numéro de notice : A2016-204 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1104534 En ligne : https://doi.org/10.1080/13658816.2015.1104534 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79891 [article]

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A parallel algorithm for coverage optimization on multi-core architectures / Ran Wei in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 3-4 (March - April 2016) . - pp 432 - 450 Titre : A parallel algorithm for coverage optimization on multi-core architectures Type de document : Article/Communication Auteurs : Ran Wei, Auteur ; Alan T. Murray, Auteur Année de publication : 2016 Article en page(s) : pp 432 - 450 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] architecture de système [Termes descripteurs IGN] Californie (Etats-Unis) [Termes descripteurs IGN] couverture (données géographiques) [Termes descripteurs IGN] cyberinfrastructure [Termes descripteurs IGN] Ohio (Etats-Unis) [Termes descripteurs IGN] optimisation spatiale [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] traitement parallèle [Termes descripteurs IGN] urgence Résumé : (Auteur) Location siting is an important part of service provision, with much potential to impact operational efficiency, safety, security, system reliability, etc. A class of location models seeks to optimize coverage of demand for service that is continuously distributed across space. Decision-making and planning contexts include police/fire resource allocation for a community, siting cellular towers to support cell phone signal transmission, locating emergency warning sirens to alert the public of severe weather and other related dangers, and many others as well. When facilities can be sited anywhere in continuous space to provide coverage to an entire region, this is a very computationally challenging problem to solve because potential demand for service is everywhere and there are an infinite number of potential facility sites to consider. This article develops a new parallel solution approach for this location coverage optimization problem through an iterative bounding scheme on multi-core architectures. The developed approach is applied to site emergency warning sirens in Dublin, Ohio, and fire stations in Elk Grove, California. Results demonstrate the effectiveness and efficiency of the proposed approach, enabling real-time analysis and planning. This work illustrates that the integration of cyberinfrastructure can significantly improve computational efficiency in solving challenging spatial optimization problems, fitting the themes of this special issue: cyberinfrastructure, GIS, and spatial optimization. Numéro de notice : A2016-202 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1030750 En ligne : https://doi.org/10.1080/13658816.2015.1030750 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79888 [article]

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Geoscience data provenance : An overview / Liping Di in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5065 - 5072 Titre : Geoscience data provenance : An overview Type de document : Article/Communication Auteurs : Liping Di, Auteur ; Peng Yue, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5065 - 5072 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] acquisition de données [Termes descripteurs IGN] cyberinfrastructure [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] état de l'art [Termes descripteurs IGN] processus spatio-temorel [Termes descripteurs IGN] service web [Termes descripteurs IGN] source de données [Termes descripteurs IGN] utilisateur Résumé : (Auteur) The advancement of Earth observing sensors, data, and information systems enhances significantly the capabilities to access and process large volumes of geoscience data, which are often consumed by scientific workflows and processed in a distributed information environment. Consequently, data provenance becomes important since it allows users to determine the usability and reliability of data products. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the past decade, such as spatial data and information infrastructure, e-Science, and cyberinfrastructure. This paper provides an overview of geoscience data provenance in supporting provenance-aware geoscience data and information systems by summarizing state-of-the-art technologies and methodologies of geoscience data provenance and highlighting key considerations and possible solutions for geoscience data provenance. Numéro de notice : A2013-610 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2242478 En ligne : https://doi.org/10.1109/TGRS.2013.2242478 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32746 [article]

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TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience / Shuo Wang in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n° 5 (may 2009) . - pp 631 - 656 Titre : TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience Type de document : Article/Communication Auteurs : Shuo Wang, Auteur ; Y. Liu, Auteur Année de publication : 2009 Article en page(s) : pp 631 - 656 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] analyse spatiale [Termes descripteurs IGN] architecture orientée services [Termes descripteurs IGN] base de données répartie [Termes descripteurs IGN] cyberinfrastructure [Termes descripteurs IGN] découverte de connaissances [Termes descripteurs IGN] géomatique web [Termes descripteurs IGN] traitement parallèle [Termes descripteurs IGN] traitement réparti [Termes descripteurs IGN] web 2.0 [Termes descripteurs IGN] WebSIG Résumé : (Auteur) Cyberinfrastructure (CI) represents the integrated information and communication technologies for distributed information processing and coordinated knowledge discovery, and is promising to revolutionize how science and engineering are conducted in the twenty-first century. The value of bridging CI and GIScience is significant to advance CI and benefit GIScience research and education, particularly in distributed geographic information processing (DGIP). This article presents a holistic framework that bridges CI and GIScience by integrating CI capabilities to empower GIScience research and education and establish generic DGIP services supported by CI. The framework, the TeraGrid GIScience Gateway, is based on a CI science gateway approach developed on the National Science Foundation (NSF) TeraGrid - a key element of US and world CI. This gateway develops a unifying service-oriented framework with respect to its architecture, design, and implementation as well as its integration with the TeraGrid. The functions of the gateway focus on enabling parallel and distributed processing for geographical analysis, managing the complexity of TeraGrid software environment, and establishing a Web-based GIS for the GIScience community to gain shared and collaborative access to TeraGrid-based geospatial processing services. The gateway implementation uses Web 2.0 technologies to create a highly configurable and interactive multiuser environment. Two case studies, Bayesian geostatistical modeling and a spatial statistic Gi(d) for detecting local clustering, are used to demonstrate the gateway functions and user environment. The service transformation for these analyses is applied to create a shared, decentralized, and collaborative geographical analysis environment in which GIScience community users can contribute new analysis services and reuse existing gateway services. Copyright Taylor & Francis Numéro de notice : A2009-301 Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29931 [article]

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