Paru le : 01/01/2010 |
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Exemplaires(2)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| 079-2010012 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
| 079-2010011 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements
Ajouter le résultat dans votre panierRelative positions in words: a system that builds descriptions around Allen relations / P. Matsakis in International journal of geographical information science IJGIS, vol 24 n°1-2 (january 2010)
Titre : Relative positions in words: a system that builds descriptions around Allen relations Type de document : Article/Communication Auteurs : P. Matsakis, Auteur ; L. Wawrzyniak, Auteur ; J. Ni, Auteur Année de publication : 2010 Article en page(s) : pp 1 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] histogramme
[Termes IGN] image 2D
[Termes IGN] langage naturel (informatique)
[Termes IGN] logique floue
[Termes IGN] position
[Termes IGN] Relation d'Allen
[Termes IGN] relation topologique
[Termes IGN] sous ensemble flouRésumé : (Auteur) In this paper, we introduce a system able to generate an intuitive, human-like linguistic description of the topological relationships between two objects. The description includes approximate terms commonly found in daily communications. It attempts to capture the essential characteristics of the relationships, while leaving out superfluous and possibly overwhelming detail. The objects are 2-D image objects. They need not be convex, nor connected, and they may have holes in them. Each description is built around Allen relations, based on information extracted from F-histograms. It consists of a topological component that indicates the primary topological relationships, directional estimates of where these relationships are most prominent, and a self-assessment component which reflects the complexity of the situation. Experiments on synthetic and real data validate the approach. Copyright Taylor & Francis Numéro de notice : A2010-112 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802270587 En ligne : http://dx.doi.org/10.1080/13658810802270587 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30308
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 1 - 23[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Location-based algorithms for finding sets of corresponding objects over several geo-spatial data sets Type de document : Article/Communication Auteurs : E. Safra, Auteur ; Yaron Kanza, Auteur ; Y. Sagiv, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 69 - 106 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] imprécision géométrique
[Termes IGN] intégration de données
[Termes IGN] jeu de données localisées
[Termes IGN] jointure spatiale
[Termes IGN] objet géographiqueRésumé : (Auteur) When integrating geo-spatial data sets, a join algorithm is used for finding sets of corresponding objects (i.e., objects that represent the same real-world entity). This article investigates location-based join algorithms for integration of several data sets. First, algorithms for integration of two data sets are presented and their performances, in terms of recall and precision, are compared. Then, two approaches for integration of more than two data sets are described. In one approach, all the integrated data sets are processed simultaneously. In the second approach, a join algorithm for two data sets is applied sequentially, either in a serial manner, where in each join at least one of the joined data sets is a single source, or in a hierarchical manner, where two join results can be joined. For the two approaches, join algorithms are given. The algorithms are designed to perform well even when location of objects are imprecise and each data set represents only some of the real-world entities. Results of extensive experiments with the different approaches are provided and analyzed. The experiments show the differences, in accuracy and efficiency, between the approaches, under different circumstances. The results also show that all our algorithms have much better accuracy than applying the commonly used one-sided nearest-neighbor join. Copyright Taylor & Francis Numéro de notice : A2010-113 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810802275560 En ligne : http://dx.doi.org/10.1080/13658810802275560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30309
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 69 - 106[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Feature-based cartographic modelling Type de document : Article/Communication Auteurs : K. French, Auteur ; X. Li, Auteur Année de publication : 2010 Article en page(s) : pp 141 - 164 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse spatiale
[Termes IGN] données vectorielles
[Termes IGN] Map Algebra
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] relation topologique
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) Cartographic modelling operations provide powerful tools for analysing and manipulating geographic data in the raster data model. This research extends these operations to the vector data model. It first discusses how the spatial scopes of analysis can be defined for point, line, and polygon features analogous to the raster cell. Then it introduces the local, focal, and zonal operations available for vector features, followed by providing a prototype syntax that might guide the implementation of these operations. Through example applications, this research also demonstrates the usefulness of these operations by comparing them with traditional vector spatial analysis. Copyright Taylor & Francis Numéro de notice : A2010-114 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810802492462 En ligne : http://dx.doi.org/10.1080/13658810802492462 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30310
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 141 - 164[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Semantics-based 3D dynamic hierarchical house property model Type de document : Article/Communication Auteurs : Q. Zhu, Auteur ; M.Y. Hu, Auteur Année de publication : 2010 Article en page(s) : pp 165 - 188 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] bâtiment
[Termes IGN] bien immobilier
[Termes IGN] information sémantique
[Termes IGN] modélisation 2D
[Termes IGN] modélisation 3DRésumé : (Auteur) Aiming at the increasing critical issues of existing 2D plans and map-based methodology for integrated management of advanced buildings and related dynamic property rights in complicated 3D built environments, a novel semantics-based 3D dynamic house property model with hierarchical levels of detail is proposed in this paper, based on comprehensive analysis of 3D house property objects and various application requirements. This model is characterized by: (1) 3D geometric semantics: a 3D geometry hierarchy of exterior and interior of buildings is defined; (2) thematic semantics, comprehensive house property object and related property right relationships are illustrated; (3) temporal semantics, dynamic representation of house property driven by both geometric events and property right events is involved. This model facilitates comprehensive data mining to analyze spatial relationships and dynamic change of property rights in real 3D built environments and can also support the sale and lease of real estate, facility management, house planning and so on. Copyright Taylor & Francis Numéro de notice : A2010-115 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802443440 En ligne : http://dx.doi.org/10.1080/13658810802443440 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30311
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 165 - 188[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : A semantic registry using a feature type catalogue instead of ontologies to support spatial data infrastructures Type de document : Article/Communication Auteurs : K. Stock, Auteur ; R. Atkinson, Auteur ; C. Higgins, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 231 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] Catalog Service Web
[Termes IGN] information sémantique
[Termes IGN] infrastructure urbaine de données localisées
[Termes IGN] ontologie
[Termes IGN] registre de métadonnéesRésumé : (Auteur) The use of a semantically rich registry containing a Feature Type Catalogue (FTC) to represent the semantics of geographic feature types including operations, attributes and relationships between feature types is required to realise the benefits of Spatial Data Infrastructures (SDIs). Specifically, such information provides a more complete representation of the semantics of the concepts used in the SDI, and enables advanced navigation, discovery and utilisation of discovered resources. The presented approach creates an FTC implementation in which attributes, associations and operations for a given feature type are encapsulated within the FTC, and these conceptual representations are separated from the implementation aspects of the web services that may realise the operations in the FTC. This differs from previous approaches that combine the implementation and conceptual aspects of behaviour in a web service ontology, but separate the behavioural aspects from the static aspects of the semantics of the concept or feature type. These principles are demonstrated by the implementation of such a registry using open standards. The ebXML Registry Information Model (ebRIM) was used to incorporate the FTC described in ISO 19110 by extending the Open Geospatial Consortium ebRIM Profile for the Web Catalogue Service (CSW) and adding a number of stored queries to allow the FTC component of the standards-compliant registry to be interrogated. The registry was populated with feature types from the marine domain, incorporating objects that conform to both the object and field views of the world. The implemented registry demonstrates the benefits of inheritance of feature type operations, attributes and associations, the ability to navigate around the FTC and the advantages of separating the conceptual from the implementation aspects of the FTC. Further work is required to formalise the model and include axioms to allow enhanced semantic expressiveness and the development of reasoning capabilities. Copyright Taylor & Francis Numéro de notice : A2010-116 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802570291 En ligne : http://dx.doi.org/10.1080/13658810802570291 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30312
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 231 - 252[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Utilising urban context recognition and machine learning to improve the generalisation of buildings Type de document : Article/Communication Auteurs : Stefan Steiniger, Auteur ; Patrick Taillandier Année de publication : 2010 Article en page(s) : pp 253 - 282 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] apprentissage automatique
[Termes IGN] généralisation du bâti
[Termes IGN] prise en compte du contexte
[Termes IGN] qualité cartographique
[Termes IGN] système expert
[Termes IGN] système multi-agents
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) The introduction of automated generalisation procedures in map production systems requires that generalisation systems are capable of processing large amounts of map data in acceptable time and that cartographic quality is similar to traditional map products. With respect to these requirements, we examine two complementary approaches that should improve generalisation systems currently in use by national topographic mapping agencies. Our focus is particularly on self-evaluating systems, taking as an example those systems that build on the multi-agent paradigm. The first approach aims to improve the cartographic quality by utilising cartographic expert knowledge relating to spatial context. More specifically, we introduce expert rules for the selection of generalisation operations based on a classification of buildings into five urban structure types, including inner city, urban, suburban, rural, and industrial and commercial areas. The second approach aims to utilise machine learning techniques to extract heuristics that allow us to reduce the search space and hence the time in which a good cartographical solution is reached. Both approaches are tested individually and in combination for the generalisation of buildings from map scale 1:5000 to the target map scale of 1:25 000. Our experiments show improvements in terms of efficiency and effectiveness. We provide evidence that both approaches complement each other and that a combination of expert and machine learnt rules give better results than the individual approaches. Both approaches are sufficiently general to be applicable to other forms of self-evaluating, constraint-based systems than multi-agent systems, and to other feature classes than buildings. Problems have been identified resulting from difficulties to formalise cartographic quality by means of constraints for the control of the generalisation process. Copyright Taylor & Francis Numéro de notice : A2010-117 Affiliation des auteurs : COGIT+Ext (1988-2011) Autre URL associée : vers HAL Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658810902798099 Date de publication en ligne : 01/03/2010 En ligne : http://dx.doi.org/10.1080/13658810902798099 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30313
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 253 - 282[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Mapping transit-based access: integrating GIS, routes and schedules Type de document : Article/Communication Auteurs : T. Lei, Auteur ; R.L. Church, Auteur Année de publication : 2010 Article en page(s) : pp 283 - 304 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] accessibilité
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] réseau routier
[Termes IGN] système d'information géographique
[Termes IGN] transport collectifRésumé : (Auteur) Accessibility is a concept that is not entirely easy to define. Gould (1969) once stated that it is a 'slippery notion ... one of those common terms that everyone uses until faced with the problem of defining and measuring it'. Considerable research over the last 40 years has been devoted to defining and measuring accessibility, ranging from access to jobs within an hour's travel time to the ease at which given places can be reached. This article is concerned with the measurement of access provided by transit. It includes a review of past work on measuring accessibility in general and with respect to transit services in particular. From this overview of the literature, it can be seen that current methods fall short in measuring transit service access in several meaningful aspects. Based on this review and critique, we propose new refinements that can be used to help overcome some of these shortcomings. As a part of this, we define an extended GIS data structure to handle temporal elements of transit service. To demonstrate the value of these new measures, examples are presented with respect to mapping accessibility of transit services in Santa Barbara, California. Finally, we show how these measures can be used to develop a framework for supporting transit service analysis and planning. Copyright Taylor & Francis Numéro de notice : A2010-118 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810902835404 En ligne : http://dx.doi.org/10.1080/13658810902835404 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30314
in International journal of geographical information science IJGIS > vol 24 n°1-2 (january 2010) . - pp 283 - 304[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2010012 RAB Revue Centre de documentation En réserve L003 Disponible 079-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
