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Optimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems / Mingwei Liu in International journal of geographical information science IJGIS, vol 31 n° 9-10 (September - October 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 9-10 (September - October 2017) . - pp 1891 - 1906 Titre : Optimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems Type de document : Article/Communication Auteurs : Mingwei Liu, Auteur ; Jun Zhu, Auteur ; Qing Zhu, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1891 - 1906 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] barrage [Termes IGN] inondation [Termes IGN] interface homme-machine [Termes IGN] optimisation spatiale [Termes IGN] processus spatio-temorel [Termes IGN] risque majeur [Termes IGN] système d'information géographique [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Simulation and subsequent visualization in a network environment are important to glean insights into spatiotemporal processes. As computing systems become increasingly diverse in hardware architectures, operating systems, screen sizes, human–computer interactions and network capabilities, effective simulation and visualization must become adaptive to a wide range of diverse devices. This paper focuses on the optimization of simulation and visualization analysis of the dam-failure flood spatiotemporal process for diverse computing systems. First, an adaptive browser/server architecture of the dam-failure simulation application was designed to fill the hardware performance and visualization context gap that exists within diverse computing systems. Second, a data flow and an optimization method for multilevel time-series flood data were given to provide more support to network simulation, visualization and analysis on diversified terminals. Finally, a user interaction friendly and plugin-free prototype system was developed. The experiment results demonstrate that the methods addressed in this paper can cope with the challenge in simulation, visualization and interaction of a dam-failure simulation application on diversified terminals. Numéro de notice : A2017-506 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1334897 En ligne : http://dx.doi.org/10.1080/13658816.2017.1334897 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86452 [article]

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079-2017051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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 IGN] acquisition de données [Termes IGN] cyberinfrastructure [Termes IGN] données localisées [Termes IGN] état de l'art [Termes IGN] processus spatio-temorel [Termes IGN] service web [Termes IGN] source de données [Termes 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 Affiliation des auteurs : non IGN 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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065-2013111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques / M. Sarabuddin Mondal in Geocarto international, vol 28 n° 7-8 (November - December 2013)  

Public [article]  inGeocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 632 - 656 Titre : Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques Type de document : Article/Communication Auteurs : M. Sarabuddin Mondal, Auteur ; Nayan Sharma, Auteur ; Martin Kappas, Auteur ; Pradeep Kumar Garg, Auteur Année de publication : 2013 Article en page(s) : pp 632 - 656 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] automate cellulaire [Termes IGN] bassin hydrographique [Termes IGN] Brahmapoutre (fleuve) [Termes IGN] carte d'occupation du sol [Termes IGN] champ aléatoire de Markov [Termes IGN] classification dirigée [Termes IGN] image multitemporelle [Termes IGN] Inde [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] occupation du sol [Termes IGN] processus spatio-temorel [Termes IGN] utilisation du sol Résumé : (Auteur) An attempt has been made to explore and evaluate the Cellular Automata (CA) Markov modelling to monitor and predict the future land use and land cover (LULC) scenario in a part of Brahmaputra River basin using LULC maps derived from multi-temporal satellite images. CA Markov is a combined cellular automata/Markov chain/multi-criteria/multi-objective land allocation (MOLA) LULC prediction procedure that adds an element of spatial contiguity as well as knowledge base of the likely spatial distribution of transitions to Markov chain analysis. Evidence likelihood map was used for as knowledge base of the likely spatial procedure in CA Markov model. The predicting quantity and predicting location change have been analysed and statistically evaluated. The validation statistics indicated how well the comparison map agreed and disagreed with the reference map. Predicted results accuracy is slightly higher when compare to others studies of LULC change using CA Markov approaches. Numéro de notice : A2013-701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.776641 Date de publication en ligne : 01/08/2013 En ligne : https://doi.org/10.1080/10106049.2013.776641 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32837 [article]

Exemplaires(1)

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059-2013041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A multi-granularity parallel model for unified remote sensing image processing webservices / W. Guo in Transactions in GIS, vol 16 n° 6 (December 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 6 (December 2012) . - pp 845 - 866 Titre : A multi-granularity parallel model for unified remote sensing image processing webservices Type de document : Article/Communication Auteurs : W. Guo, Auteur ; Xinyan Zhu, Auteur ; Tao Hu, Auteur ; Liwei Fan, Auteur Année de publication : 2012 Article en page(s) : pp 845 - 866 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] granularité d'image [Termes IGN] informatique en nuage [Termes IGN] logiciel libre [Termes IGN] partage de données localisées [Termes IGN] plateforme logicielle [Termes IGN] processus spatio-temorel [Termes IGN] service web géographique [Termes IGN] traitement d'image [Termes IGN] traitement parallèle Résumé : (Auteur) The growth of the Web has resulted in the Web-based sharing of distributed geospatial data and computational resources. The Geospatial Processing Web (GeoPW) described here is a set of services that provide a wide array of geo-processing utilities over the Web and make geo-processing functionalities easily accessible to users. High-performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high-performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi-granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI-oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub-models. In addition, interfaces, definitions, parallel task scheduling and fault-tolerance mechanisms are described in detail. Based on the model and methods, we propose an open-source online platform named OpenRS-Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi-granularity parallel model for unified remote sensing image processing web services. Numéro de notice : A2012-618 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01367.x En ligne : https://doi.org/10.1111/j.1467-9671.2012.01367.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32064 [article]

Implementing a new model for simulating processes / F. Reitsma in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 10 (november 2005) . - pp 1073 - 1090 Titre : Implementing a new model for simulating processes Type de document : Article/Communication Auteurs : F. Reitsma, Auteur ; J. Albrecht, Auteur Année de publication : 2005 Article en page(s) : pp 1073 - 1090 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] bassin hydrographique [Termes IGN] implémentation (informatique) [Termes IGN] modèle conceptuel de flux [Termes IGN] modèle dynamique [Termes IGN] processus spatio-temorel [Termes IGN] prototype [Termes IGN] requête spatiale [Termes IGN] ruissellement [Termes IGN] simulation Résumé : (Auteur) The paper describes the development of a new methodological approach for simulating geographic processes through the development of a data model that represents a process. This methodology complements existing approaches to dynamic modelling, which focus on the states of the system at each time step, by storing and representing the processes that are implicit in the model. The data model, called nen, focuses existing modelling approaches on representing and storing process information, which provides advantages for querying and analysing processes. The flux simulation framework was created utilizing the nen data model to represent processes. This simulator includes basic classes for developing a domain specific simulation and a set of query tools for inquiring after the results of a simulation. The methodology is prototyped with a watershed runoff simulation. Numéro de notice : A2005-500 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500390943 En ligne : https://doi.org/10.1080/13658810500390943 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27636 [article]

Exemplaires(2)

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079-05092	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Development of a temporal extension to query travel behavior time paths using an object-oriented GIS / A. Frihida in Geoinformatica, vol 8 n° 3 (septembre - novembre 2004)  

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The story of the Geotoolkit: an object-oriented geodatabase kernel system / O. Balovnev in Geoinformatica, vol 8 n° 1 (March - May 2004)  

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Modèles en analyse spatiale / Léna Sanders (2001)

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Formalisation MDQ [modèle données question] de processus spatio-temporels / D. Faivre in Revue internationale de géomatique, vol 9 n° 1 (mars - mai 1999)

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