Descripteur
Termes IGN > géomatique > base de données localisées > modèle conceptuel de données localisées > modèle topologique de données
modèle topologique de donnéesSynonyme(s)modele topologiqueVoir aussi |
Documents disponibles dans cette catégorie (226)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Rank-based strategies for cleaning inconsistent spatial databases / Nieves R. Brisaboa in International journal of geographical information science IJGIS, vol 29 n° 2 (February 2015)
[article]
Titre : Rank-based strategies for cleaning inconsistent spatial databases Type de document : Article/Communication Auteurs : Nieves R. Brisaboa, Auteur ; M. Andrea Rodríguez, Auteur ; Diego Seco, Auteur Année de publication : 2015 Article en page(s) : pp 280 - 304 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] cohérence des données
[Termes IGN] contrainte d'intégrité
[Termes IGN] données massives
[Termes IGN] efficacité
[Termes IGN] intégrité topologique
[Termes IGN] qualité des données
[Termes IGN] relation topologique
[Termes IGN] révision des donnéesRésumé : (Auteur) A spatial data set is consistent if it satisfies a set of integrity constraints. Although consistency is a desirable property of databases, enforcing the satisfaction of integrity constraints might not be always feasible. In such cases, the presence of inconsistent data may have a negative effect on the results of data analysis and processing and, in consequence, there is an important need for data-cleaning tools to detect and remove, if possible, inconsistencies in large data sets. This work proposes strategies to support data cleaning of spatial databases with respect to a set of integrity constraints that impose topological relations between spatial objects. The basic idea is to rank the geometries in a spatial data set that should be modified to improve the quality of the data (in terms of consistency). An experimental evaluation validates the proposal and shows that the order in which geometries are modified affects both the overall quality of the database and the final number of geometries to be processed to restore consistency. Numéro de notice : A2015-580 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.965711 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.965711 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77842
in International journal of geographical information science IJGIS > vol 29 n° 2 (February 2015) . - pp 280 - 304[article]An aggregated graph to qualify historical spatial networks using temporal patterns detection / Benoit Costes (2015)
Titre : An aggregated graph to qualify historical spatial networks using temporal patterns detection Type de document : Article/Communication Auteurs : Benoit Costes , Auteur ; Julien Perret , Auteur ; Bénédicte Bucher , Auteur ; Maurizio Gribaudi, Auteur Editeur : Association of Geographic Information Laboratories in Europe AGILE Année de publication : 2015 Conférence : AGILE 2015, 18th International Conference on Geographic Information Science, Geographic Information Science as an enabler of smarter cities and communities 09/06/2015 12/06/2015 Lisbonne Portugal OA Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] carte ancienne
[Termes IGN] cohérence des données
[Termes IGN] détection d'anomalie
[Termes IGN] graphe
[Termes IGN] modèle topologique complet
[Termes IGN] Paris (75)
[Termes IGN] réseau routierRésumé : (auteur) This paper introduces a model of an aggregated graph suitable to study dynamics of city street networks, and a method to build it. Using temporal pattern detection, it allows detecting inconsistencies in historical spatial networks attributable mainly to old maps themselves, without ground truth data but by comparing each data with each other, and helps to take into account their imperfections such as differences in levels of detail, incompleteness, fuzzy temporalisation, geometric inaccuracies and so on, in the objective of performing further spatio-temporal analyses with corrected data. Our model is applied on Paris old street network at five different temporalities. Numéro de notice : C2015-011 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl En ligne : https://agile-online.org/index.php/conference/proceedings/proceedings-2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81041 Documents numériques
en open access
An aggregated graphAdobe Acrobat PDF Matching disparate geospatial datasets and validating matches using spatial logic / Heshan Du (2015)
Titre : Matching disparate geospatial datasets and validating matches using spatial logic Type de document : Thèse/HDR Auteurs : Heshan Du, Auteur ; Natasha Alechina, Directeur de thèse ; M.J. Jackson, Directeur de thèse Editeur : Nottingham : University of Nottingham Année de publication : 2015 Importance : 211 p. Note générale : Bibliographie
Thesis submitted to the University of Nottingham for the degree of Doctor of PhilosophyLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] appariement de données localisées
[Termes IGN] appariement géométrique
[Termes IGN] cartographie collaborative
[Termes IGN] cohérence des données
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] données vectorielles
[Termes IGN] intégration de données
[Termes IGN] jeu de données localisées
[Termes IGN] ontologie
[Termes IGN] OpenStreetMap
[Termes IGN] Ordnance Survey (UK)
[Termes IGN] relation topologique
[Termes IGN] zone tamponRésumé : (auteur) In recent years, the emergence and development of crowd-sourced geospatial data has provided challenges and opportunities to national mapping agencies as well as commercial mapping organisations. Crowd-sourced data involves non-specialists in data collection, sharing and maintenance. Compared to authoritative geospatial data, which is collected by surveyors or other geodata professionals, crowd-sourced data is less accurate and less structured, but often provides richer user-based information and reflects real world changes more quickly at a much lower cost. In order to maximize the synergistic use of authoritative and crowd-sourced geospatial data, this research investigates the problem of how to establish and validate correspondences (matches) between spatial features from disparate geospatial datasets. To reason about and validate matches between spatial features, a series of new qualitative spatial logics was developed. Their soundness, completeness, decidability and complexity theorems were proved for models based on a metric space. A software tool `MatchMaps' was developed, which generates matches using location and lexical information, and verifies consistency of matches using reasoning in description logic and qualitative spatial logic. MatchMaps was evaluated by the author and experts from Ordnance Survey, the national mapping agency of Great Britain. In experiments, it achieved high precision and recall, as well as reduced human effort. The methodology developed and implemented in MatchMaps has a wider application than matching authoritative and crowd-sourced data and could be applied wherever it is necessary to match two geospatial datasets of vector data. Note de contenu : 1. Introduction
1.1. Research Question
1.2. Research Aim and Objectives
1.3. Contributions and Structure of the Thesis
2. Context of Research
2.1. Development of Crowd-sourced Geospatial Data
2.2. Quality of OpenStreetMap Data
2.3. Usability of OpenStreetMap Data
3. Litterature Review
3.1. Geospatial Data Matching
3.2. Ontology Matching
3.3. Spatial Logic
4. A Framework for Integrating Geospatial Datasets
4.1. Building up the Framework
4.2. Rationale of the Framework
4.3. MatchMaps: an Implemented System
5. Matching Spatial Features
5.1. Theoretical Basis for Matching Geometries
5.2. Matching Geometries
5.3. Matching Spatial Objects
6. Validating Matches using Description Logic
6.1. Description Logic ALCO
6.2. Validationg Terminology Matches using Description Logic
6.3. Validating Object Matches using Description Logic
7. A Logic of NEAR and FAR for Buffered Points
7.1. Syntax, Semantics and Axioms of LNF
7.2. Soundness and Completeness of LNF
7.3. Decidability and Complexity of LNF
7.4. Interpreting L(LNF) in R²
8. A Logic of NEAR and FAR for Buffered Geometries
8.1. Syntax, Semantics and Axioms of LNFS
8.2. Soundness and Completeness of LNFS
8.3. Decidability and Complexity of LNFS
8.4. Interpreting L(LNFS) in R²
9. A Logic of Part and Whole for Buffered Geometries
9.1. Syntax, Semantics and Axioms of LBPT
9.2. Soundness and Completeness of LBPT
9.3. Decidability and Complexity of LBPT
9.4. Interpreting L(LBPT) in R²
10. Validating Matches using Qualitative spatial Logic
10.1. Validating Matches using LNF, LNFS ans LBPT
10.2. Actions for Retracting Problematic Matches
11. Evaluation and Discussion
11.1. Developer Evaluation of MatchMaps
11.2. User Evaluation of MatchMaps
11.3. Discussion
12. Conclusion and Future Work
12.1. Conclusion
12.2. Future WorkNuméro de notice : 19794 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Thèse étrangère Note de thèse : PhD thesis : : Nottingham : 2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85041 OpenStreetMap in GIScience / Jamal Jokar Arsanjani (2015)
Titre : OpenStreetMap in GIScience : experiences, research, and applications Type de document : Monographie Auteurs : Jamal Jokar Arsanjani, Éditeur scientifique ; Alexander Zipf, Éditeur scientifique ; Peter Mooney, Éditeur scientifique ; Marco Helbich, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : 324 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-14279-1 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse de données
[Termes IGN] base de données foncières
[Termes IGN] cartographie collaborative
[Termes IGN] données localisées des bénévoles
[Termes IGN] données statistiques
[Termes IGN] graphe
[Termes IGN] impact social
[Termes IGN] itinéraire
[Termes IGN] modèle topologique réseau
[Termes IGN] occupation du sol
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesIndex. décimale : 37.10 Bases de données géographiques Résumé : (Editeur) This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography. Note de contenu : Part 1 - Data management and quality
Part 2 - Social context
Part 3 - Network modeling and routing
Part 4 - Land management and urban form
Part 5 - OutlookNuméro de notice : 22415 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79437 ContientRéservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 22415-01 37.10 Livre Centre de documentation Géomatique Disponible Spatial-aware dictionary learning for hyperspectral image classification / Ali Soltani-Farani in IEEE Transactions on geoscience and remote sensing, vol 53 n° 1 (January 2015)
[article]
Titre : Spatial-aware dictionary learning for hyperspectral image classification Type de document : Article/Communication Auteurs : Ali Soltani-Farani, Auteur ; Hamid R. Rabiee, Auteur ; Seyyed Abbas Hosseini, Auteur Année de publication : 2015 Article en page(s) : pp 527 - 541 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme d'apprentissage
[Termes IGN] classification
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image hyperspectrale
[Termes IGN] limite de résolution radiométrique
[Termes IGN] prise en compte du contexte
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) This paper presents a structured dictionary-based model for hyperspectral data that incorporates both spectral and contextual characteristics of spectral samples. The idea is to partition the pixels of a hyperspectral image into a number of spatial neighborhoods called contextual groups and to model the pixels inside a group as members of a common subspace. That is, each pixel is represented using a linear combination of a few dictionary elements learned from the data, but since pixels inside a contextual group are often made up of the same materials, their linear combinations are constrained to use common elements from the dictionary. To this end, dictionary learning is carried out with a joint sparse regularizer to induce a common sparsity pattern in the sparse coefficients of a contextual group. The sparse coefficients are then used for classification using a linear support vector machine. Experimental results on a number of real hyperspectral images confirm the effectiveness of the proposed representation for hyperspectral image classification. Moreover, experiments with simulated multispectral data show that the proposed model is capable of finding representations that may effectively be used for classification of multispectral resolution samples. Numéro de notice : A2015-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2325067 En ligne : https://doi.org/10.1109/TGRS.2014.2325067 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75119
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 1 (January 2015) . - pp 527 - 541[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2015011 RAB Revue Centre de documentation En réserve L003 Disponible Analyzing relatedness by toponym co-occurrences on web pages / Yu Liu in Transactions in GIS, vol 18 n° 1 (February 2014)PermalinkPréservation et modification des relations entre les données thématiques et les données topographiques lors de migration des données thématiques / Kusay Jaara in Cartes & Géomatique, n° 218 (décembre 2013)PermalinkQGIS 2 et SFCGAL 1 / Anonyme in Géomatique expert, n° 95 (01/11/2013)PermalinkDecentralized querying of topological relations between regions monitored by a coordinate-free geosensor network / Myeong-Hung Jeong in Geoinformatica, vol 17 n° 4 (October 2013)PermalinkVers une approche pluridisciplinaire des réseaux enterrés / Lucile Gimenez in XYZ, n° 135 (juin - août 2013)PermalinkTowards 3D lidar point cloud registration improvement using optimal neighborhood knowledge / Adrien Gressin in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)PermalinkMulti-level representation of terrain features on a contour map / Eric Guilbert in Geoinformatica, vol 17 n° 2 (April 2013)PermalinkTopological gradient connection analysis for feature detection / Chao-Yuan Lo in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkTrajectories of moving objects on a network: detection of similarities, visualization of relations, and classification of trajectories / Yukio Sadahiro in Transactions in GIS, vol 17 n° 1 (February 2013)PermalinkAn automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)PermalinkThe CARTACOM model : transforming cartographic features into communicating agents for cartographic generalization / Cécile Duchêne in International journal of geographical information science IJGIS, vol 26 n° 9-10 (September - october 2012)PermalinkImproving 3D lidar point cloud registration using optimal neighborhood knowledge / Adrien Gressin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkPostGIS pour les néophytes (épisode 10) [11ème partie] : Topologie (suite et fin) / Anonyme in Géomatique expert, n° 87 (01/07/2012)PermalinkPostGIS pour les néophytes (10ème partie) : PostGIS 2.0 : les fonctions topologiques / Anonyme in Géomatique expert, n° 86 (01/05/2012)PermalinkTree topology representation from TLS point clouds using depth-first search in voxel space / A. Schilling in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)PermalinkPermalinkTopological operators: a relaxed query processing approach / Alberto Belussi in Geoinformatica, vol 16 n° 1 (January 2012)PermalinkPermalinkPermalinkControlling patterns of geospatial phenomena / Tomasz F. Stepinski in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkConnectivity in the regular polytope representation / R. Thompson in Geoinformatica, vol 15 n° 2 (April 2011)PermalinkPermalinkModelling and analysing 3D buildings with a primal/dual data structure / P. Boguslawski in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)PermalinkModelling and analysing 3D buildings with a primal/dual data structure / P. Boguslawski in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)PermalinkPermalinkGraph-based feature selection for object-oriented classification in VHR airborne imagery / Tianen Chen in IEEE Transactions on geoscience and remote sensing, vol 49 n° 1 Tome 2 (January 2011)PermalinkL’impact du voisinage géographique des pays dans l’attribution des votes au Concours Eurovision de la Chanson / Jean-François Gleyze in Cybergeo, European journal of geography, n° 2011 ([01/01/2011])PermalinkModeling the scale dependences of topological relations between lines and regions induced by reduction of attributes / S. Du in International journal of geographical information science IJGIS, vol 24 n°11-12 (december 2010)PermalinkAnalysis of the spatial relations among point distributions on a discrete space / Yukio Sadahiro in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)PermalinkOCL for formal modelling of topological modelling constraints involving regions with broad boundaries / L. Bejaoui in Geoinformatica, vol 14 n° 3 (July 2010)PermalinkTriangulation method for area-line geometry-type changes in map generalisation / H. Selvi in Cartographic journal (the), vol 47 n° 2 (May 2010)PermalinkFeature-based cartographic modelling / K. French in International journal of geographical information science IJGIS, vol 24 n°1-2 (january 2010)PermalinkRelative 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)PermalinkSimulation des systèmes complexes en géographie / P. Langlois (2010)PermalinkUser defined topological predicates in databases systems / Timon Behr in Geoinformatica, vol 14 n° 1 (January 2010)PermalinkGénération automatisée d'environnements géographiques virtuels informés : modélisation topologique et abstraction géométrique d'environnements géographiques / M. Mekni in Revue internationale de géomatique, vol 19 n° 4 (décembre 2009 – février 2010)PermalinkA prototype feature system for feature retrieval using relationships / J. Choi in Cartography and Geographic Information Science, vol 36 n° 4 (October 2009)PermalinkStreet-based topological representations and analyses for predicting traffic flow in GIS / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)PermalinkQualified topological relations between spatial objects with possible vague shape / L. Bejaoui in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkRanking spaces for predicting human movement in an urban environment / Bin Jiang in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkShape deformation in continuous map generalization / J. Danciger in Geoinformatica, vol 13 n° 2 (June 2009)PermalinkPermalinkCombined object-based classification and manual interpretation-synergies for a quantitative assessment of parcels and biotopes / S. Lang in Geocarto international, vol 24 n° 2 (April - May 2009)PermalinkModélisation de contraintes d'intégrité spatiales avec OCL / F. Pinet in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)PermalinkMorphologie urbaine et réseau : Etude des discontinuités et des ruptures induites par le réseau de circulation à l'aide du modèle Remus / Dominique Badariotti in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)Permalink