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Auteur Shashi Shekhar |
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From GPS and virtual globes to spatial computing - 2020 / Shashi Shekhar in Geoinformatica, vol 19 n° 4 (October - December 2015)
[article]
Titre : From GPS and virtual globes to spatial computing - 2020 Type de document : Article/Communication Auteurs : Shashi Shekhar, Auteur ; Steven Feiner, Auteur ; Walid G. Aref, Auteur Année de publication : 2015 Article en page(s) : pp 799 - 832 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données localisées
[Termes IGN] évolution technologique
[Termes IGN] géovisualisation
[Termes IGN] information géographique numérique
[Termes IGN] navigation
[Termes IGN] positionnement par GPS
[Termes IGN] prospectiveRésumé : (auteur) Spatial computing is a set of ideas, solutions, tools, technologies, and systems that transform our lives with a new prospect of understanding, navigating, visualizing and using locations. In this community whitepaper, we present a perspective on the changing world of spatial computing, research challenges and opportunities and geoprivacy issues for spatial computing. First, this paper provides an overview of the changing world of spatial computing. Next, promising technologies that resulted from the integration of spatial computing in the everyday lives of people is discussed. This integration results with promising technologies, research challenges and opportunities and geoprivacy issues that must be addressed to achieve the potential of spatial computing. Numéro de notice : A2015--036 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-015-0235-9 En ligne : http://dx.doi.org/10.1007/s10707-015-0235-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81122
in Geoinformatica > vol 19 n° 4 (October - December 2015) . - pp 799 - 832[article]Geographic Information Science, GIScience 2012, 7th International Conference, Columbus, OH, USA, September 2012 / Ningchuan Xiao (2012)
Titre : Geographic Information Science, GIScience 2012, 7th International Conference, Columbus, OH, USA, September 2012 : Proceedings Type de document : Actes de congrès Auteurs : Ningchuan Xiao, Éditeur scientifique ; Mei-Po Kwan, Éditeur scientifique ; Michael F. Goodchild, Éditeur scientifique ; Shashi Shekhar, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2012 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 7478 Conférence : GIScience 2012, 7th International Conference on geographic information science 18/09/2012 21/09/2012 Columbus Ohio - Etats-Unis Proceedings Springer Importance : 367 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-642-33023-0 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données massives
[Termes IGN] Infrastructure de donnéesRésumé : (éditeur) This book constitutes the refereed proceedings of the 7th International Conference on Geographic Information Science, GIScience 2012, held in Columbus, OH, USA in September 2012. The 26 full papers presented were carefully reviewed and selected from 57 submissions. While the traditional research topics are well reflected in the papers, emerging topics that involve new research hot-spots such as cyber infrastructure, big data, web-based computing also occupy a significant portion of the volume. Note de contenu : • Automated Centerline Delineation to Enrich the National Hydrography Dataset / Anderson-Tarver, Chris (et al.)
• Evolution Strategies for Optimizing Rectangular Cartograms / Buchin, Kevin (et al.)
• Context-Aware Similarity of Trajectories / Buchin, Maike (et al.)
• Generating Named Road Vector Data from Raster Maps / Chiang, Yao-Yi (et al.)
• An Ordering of Convex Topological Relations / Dube, Matthew P. (et al.)
• Toward Web Mapping with Vector Data / Gaffuri, Julien
• spatial@linkedscience – Exploring the Research Field of GIScience with Linked Data / Keßler, Carsten (et al.)
• Crowdsourcing Satellite Imagery Analysis: Study of Parallel and Iterative Models / Maisonneuve, Nicolas (et al.)
• Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach / Mohan, Pradeep (et al.)
• Nittel, Silvia (et al.)
• High-Level Event Detection in Spatially Distributed Time Series / Rude, Avinash (et al.)
• Towards Vague Geographic Data Warehouses / Siqueira, Thiago Luís Lopes (et al.)
• Measuring the Influence of Built Environment on Walking Behavior: An Accessibility Approach / Sun, Guibo (et al.)
• Social Welfare to Assess the Global Legibility of a Generalized Map / Touya, Guillaume
• Investigations into the Cognitive Conceptualization and Similarity Assessment of Spatial Scenes / Wallgrün, Jan Oliver (et al.)
• A Qualitative Bigraph Model for Indoor Space / Walton, Lisa A. (et al.)
• Dynamic Refuse Collection Strategy Based on Adjacency Relationship between Euler Cycles / Watanabe, Toyohide (et al.)
• Impact of Indoor Location Information Reliability on Users’ Trust of an Indoor Positioning System / Wei, Ting (et al.)
• Ontology for the Engineering of Geospatial Systems / Wiegand, Nancy
• Preserving Detail in a Combined Land Use Ontology / Wiegand, Nancy
• The Maptree: A Fine-Grained Formal Representation of Space / Worboys, Michael
• Automatic Creation of Crosswalk for Geospatial Metadata Standard Interoperability / Yang, Hui (et al.)
• A Dartboard Network Cut Based Approach to Evacuation Route Planning: A Summary of Results / Yang, KwangSoo (et al.)
• Hybrid Geo-spatial Query Methods on the Semantic Web with a Spatially-Enhanced Index of DBpedia / Younis, Eman M. G. (et al.)Numéro de notice : 17079 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-33024-7 En ligne : https://doi.org/10.1007/978-3-642-33024-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79426 ContientExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 17079-01 CG2012 Livre Centre de documentation Congrès Disponible
[article]
Titre : In-route nearest neighbor queries Type de document : Article/Communication Auteurs : J.S. Yoo, Auteur ; Shashi Shekhar, Auteur Année de publication : 2005 Article en page(s) : pp 117 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse comparative
[Termes IGN] base de données routières
[Termes IGN] classification barycentrique
[Termes IGN] coût
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] requête spatiale
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Nearest neighbor query is one of the most important operations in spatial databases and their application domains, such as location-based services and advanced traveler information systems. This paper addresses the problem of finding the in-route nearest neighbor (IRNN) for a query object tuple which consists of a given route with a destination and a current location on it. The IRNN is a facility instance via which the detour from the original route on the way to the destination is smallest. This paper addresses four alternative solution methods Comparisons among them are presented using an experimental framework. Extensive experiments using real road map datasets are conducted to examine the behaviors of the solutions in terms of five parameters affecting the performance. The overall experiments show that our strategy to reduce the expensive path-computations to minimize the response time is reasonable. The spatial distance join-based method always shows better performance with fewer path computations compared to the recursive methods. The computation costs for all methods except the precomputed zone-based method increase with increases in the road map size and the query route length but decrease with increases in the facility density. The precomputed zone-based method shows the most efficiency when there are no updates on the road map. Numéro de notice : A2005-223 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-005-6671-1 En ligne : https://doi.org/10.1007/s10707-005-6671-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27360
in Geoinformatica > vol 9 n° 2 (June - August 2005) . - pp 117 - 137[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-05021 RAB Revue Centre de documentation En réserve L003 Disponible