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Fast cluster polygonization and its applications in data-rich environments / I. Lee in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 399 - 422 Titre : Fast cluster polygonization and its applications in data-rich environments Type de document : Article/Communication Auteurs : I. Lee, Auteur ; V. Estivill-Castro, Auteur Année de publication : 2006 Article en page(s) : pp 399 - 422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse de groupement [Termes IGN] carte choroplèthe [Termes IGN] données localisées 2D [Termes IGN] exploration de données géographiques [Termes IGN] identification automatique [Termes IGN] méthode robuste [Termes IGN] polygone [Termes IGN] triangulation de Delaunay Résumé : (Auteur) We develop a linear time method for transforming clusters of 2D-point data into area data while identifying the shape robustly. This method translates a data layer into a space filling layer where shaped clusters are identified as the resulting regions. The method is based on robustly identifying cluster boundaries in point data using the Delaunay Diagram. The method can then be applied to modelling point data, to displaying choropleth maps of point data without a reference map, to identifying association rules in the spatial dimension for geographical data mining, or to measuring a gap between clusters for cluster validity. Copyright Springer Numéro de notice : A2006-545 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0340-x En ligne : https://doi.org/10.1007/s10707-006-0340-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28268 [article]

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Indexing fast moving objects for kNN queries based on nearest landmarks / D. Lin in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 423 - 445 Titre : Indexing fast moving objects for kNN queries based on nearest landmarks Type de document : Article/Communication Auteurs : D. Lin, Auteur ; R. Zhang, Auteur ; A. Zhou, Auteur Année de publication : 2006 Article en page(s) : pp 423 - 445 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] arbre (mathématique) [Termes IGN] classification barycentrique [Termes IGN] index spatial [Termes IGN] mise à jour de base de données [Termes IGN] objet mobile [Termes IGN] point de repère [Termes IGN] requête spatiale Résumé : (Auteur) With the rapid advancements in positioning technologies such as the Global Positioning System (GPS) and wireless communications, the tracking of continuously moving objects has become more convenient. However, this development poses new challenges to database technology since maintaining up-to-date information regarding the location of moving objects incurs an enormous amount of updates. Existing indexes can no longer keep up with the high update rate while providing speedy retrieval at the same time. This study aims to improve k nearest neighbor (kNN) query performance while reducing update costs. Our approach is based on an important observation that queries usually occur around certain places or spatial landmarks of interest, called reference points. We propose the Reference-Point-based tree (RP-tree), which is a two-layer index structure that indexes moving objects according to reference points. Experimental results show that the RP-tree achieves significant improvement over the TPR-tree. Copyright Springer Numéro de notice : A2006-546 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-006-0341-9 En ligne : https://doi.org/10.1007/s10707-006-0341-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28269 [article]

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Radial topology algorithm: a new approach for deriving 2.5D GIS data models / U. Lenk in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 447 - 468 Titre : Radial topology algorithm: a new approach for deriving 2.5D GIS data models Type de document : Article/Communication Auteurs : U. Lenk, Auteur ; Christian Heipke, Auteur Année de publication : 2006 Article en page(s) : pp 447 - 468 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] données localisées 2,5D [Termes IGN] données localisées 2D [Termes IGN] données vectorielles [Termes IGN] intégration de données [Termes IGN] modèle numérique de terrain [Termes IGN] noeud [Termes IGN] relation topologique [Termes IGN] Triangulated Irregular Network Résumé : (Auteur) In this paper, a new method for the combination of 2D GIS vector data and 2.5D DTM represented by triangulated irregular networks (TIN) to derive integrated triangular 2.5D object-based landscape models (also known as 2.5D-GIS-TIN) is presented. The algorithm takes into account special geometric constellations and fully exploits existing topologies of both input data sets, it “sews the 2D data into the TIN like a sewing-machine” while traversing the latter along the 2D data. The new algorithm is called radial topology algorithm. We discuss its advantages and limitations, and describe ways to eliminate redundant nodes generated during the integration process. With the help of four examples from practical work we show that it is feasible to compute and work with such integrated data sets. We also discuss the integrated data models in the light of various general requirements and conclude that the integration based on triangulations has a number of distinct advantages. Copyright Springer Numéro de notice : A2006-547 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-006-0342-8 En ligne : https://doi.org/10.1007/s10707-006-0342-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28270 [article]

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GABRIEL: Gis activity-based travel simulator, activity scheduling in the presence of real-time information / Mei-Po Kwan in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 469 - 493 Titre : GABRIEL: Gis activity-based travel simulator, activity scheduling in the presence of real-time information Type de document : Article/Communication Auteurs : Mei-Po Kwan, Auteur ; I. Casas, Auteur Année de publication : 2006 Article en page(s) : pp 469 - 493 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] calcul d'itinéraire [Termes IGN] outil d'aide à la décision [Termes IGN] positionnement cinématique en temps réel [Termes IGN] simulation [Termes IGN] système d'information géographique Résumé : (Auteur) A series of travel simulators have been developed in the past two decades under the Intelligent Transportation Systems (ITS) umbrella. They have addressed issues such as reactions to advisory radio and variable message signs, use of navigation systems, route diversion, and mode choice. The objective of this paper is to present the design and implementation of a different kind of travel simulator. GABRIEL (Gis Activity-Based tRavel sImuLator) has as a foundation the activity-based approach and makes use of geographic information systems (GIS) as a development environment. The simulation scenario consists of a commute trip where two activities take place. En-route to the first destination, congestion occurs and subjects are requested to take action based on a set of alternatives. The simulator provides re-routing, destination substitution, dynamic geographic information and real-time information to aid users in their decision-making process. As a result it helps subjects in developing their ability to adapt given a particular scenario and allow researchers in understanding trip making, activity rescheduling, and the decision-making process from a comprehensive perspective. Copyright Springer Numéro de notice : A2006-548 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-006-0343-7 En ligne : https://doi.org/10.1007/s10707-006-0343-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28271 [article]

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Automatically conflating road vector data with orthoimagery / C.C. Chen in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 495 - 530 Titre : Automatically conflating road vector data with orthoimagery Type de document : Article/Communication Auteurs : C.C. Chen, Auteur ; Craig A. Knoblock, Auteur ; C. Shabani, Auteur Année de publication : 2006 Article en page(s) : pp 495 - 530 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement de modèles conceptuels de données [Termes IGN] automatisation [Termes IGN] Californie (Etats-Unis) [Termes IGN] cohérence des données [Termes IGN] conflation [Termes IGN] données multisources [Termes IGN] données vectorielles [Termes IGN] fusion de données multisource [Termes IGN] intégration de données [Termes IGN] Montana (Etats-Unis) [Termes IGN] orthoimage [Termes IGN] point d'appui [Termes IGN] réseau routier Résumé : (Auteur) Recent growth of the geospatial information on the web has made it possible to easily access a wide variety of spatial data. The ability to combine various sets of geospatial data into a single composite dataset has been one of central issues of modern geographic information processing. By conflating diverse spatial datasets, one can support a rich set of queries that could have not been answered given any of these sets in isolation. However, automatically conflating geospatial data from different data sources remains a challenging task. This is because geospatial data obtained from various data sources may have different projections, different accuracy levels and different formats (e.g., raster or vector format), thus resulting in various positional inconsistencies. Most of the existing algorithms only deal with vector to vector data conflation or require human intervention to accomplish vector data to imagery conflation. In this paper, we describe a novel geospatial data fusion approach, named AMS-Conflation, which achieves automatic vector to imagery conflation. We describe an efficient technique to automatically generate control point pairs from the orthoimagery and vector data by exploiting the information from the vector data to perform localized image processing on the orthoimagery. We also evaluate a filtering technique to automatically eliminate inaccurate pairs from the generated control points. We show that these conflation techniques can automatically align the roads in orthoimagery, such that 75% of the conflated roads are within 3.6 meters from the real road axes compared to 35% for the original vector data for partial areas of the county of St. Louis, MO. Copyright Springer Numéro de notice : A2006-549 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-006-0344-6 En ligne : https://doi.org/10.1007/s10707-006-0344-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28272 [article]

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Specifying and implementing constraints in GIS-with examples from a geo-virtual reality system / J. Louwsma in Geoinformatica, vol 10 n° 4 (December 2006)  

Public [article]  inGeoinformatica > vol 10 n° 4 (December 2006) . - pp 531 - 550 Titre : Specifying and implementing constraints in GIS-with examples from a geo-virtual reality system Type de document : Article/Communication Auteurs : J. Louwsma, Auteur ; Sisi Zlatanova, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 531 - 550 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] contrainte d'intégrité [Termes IGN] objet géographique 3D [Termes IGN] OCL [Termes IGN] programmation par contraintes [Termes IGN] réalité virtuelle [Termes IGN] système d'information géographique [Termes IGN] UML Résumé : (Auteur) Constraints are important elements of every modelling process, but until now they have been treated in an ad hoc manner, depending on the specific application domain and the capabilities of the tools used. In GIS and GeoVR applications, constraints are conditions which always have to be valid (true) within the model populated with real geographic object instances. This paper argues that constraints should form a systematic part of the object class definition, similar to other aspects of the definition, viz. attributes, methods and relationships. Also, the implementation of constraints in all GIS and GeoVR subsystems (at front-end, database and exchange (I/O) level) should be derived automatically from the constraints specified by the framework. The paper therefore puts forward a framework for modelling constraints comprising (1) a classification and clarification of constraints, (2) a formal description using the unified modelling language/object constraint language (UML/OCL) and (3) implementation characteristics. The components of the framework are illustrated and applied to SALIX-2, a geo-virtual reality (GeoVR) landscape modelling system. Copyright Springer Numéro de notice : A2006-550 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-006-0345-5 En ligne : https://doi.org/10.1007/s10707-006-0345-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28273 [article]

Exemplaires(1)

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057-06041	RAB	Revue	Centre de documentation	En réserve L003	Disponible