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Mining trajectory data and geotagged data in social media for road map inference: Mining social media for road map inference / Jun Li in Transactions in GIS, vol 19 n° 1 (February 2015)
[article]
Titre : Mining trajectory data and geotagged data in social media for road map inference: Mining social media for road map inference Type de document : Article/Communication Auteurs : Jun Li, Auteur ; Qiming Qin, Auteur ; Jiawei Han, Auteur ; Lu-An Tang, Auteur ; Kin Hou Lei, Auteur Année de publication : 2015 Article en page(s) : pp 1 - 18 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données routières
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] données localisées des bénévoles
[Termes IGN] exploration de données géographiques
[Termes IGN] géobalise
[Termes IGN] inférence
[Termes IGN] mise à jour de base de données
[Termes IGN] traitement du langage naturelRésumé : (auteur) As mapping is costly and labor-intensive work, government mapping agencies are less and less willing to absorb these costs. In order to reduce the updating cycle and cost, researchers have started to use user generated content (UGC) for updating road maps; however, the existing methods either rely heavily on manual labor or cannot extract enough information for road maps. In view of the above problems, this article proposes a UGC-based automatic road map inference method. In this method, data mining techniques and natural language processing tools are applied to trajectory data and geotagged data in social media to extract not only spatial information – the location of the road network – but also attribute information – road class and road name – in an effort to create a complete road map. A case study using floating car data, collected by the National Commercial Vehicle Monitoring Platform of China, and geotagged text data from Flickr and Google Maps/Earth, validates the effectiveness of this method in inferring road maps. Numéro de notice : A2015--118 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1111/tgis.12072 Date de publication en ligne : 15/01/2014 En ligne : http://doi.wiley.com/10.1111/tgis.12072 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102453
in Transactions in GIS > vol 19 n° 1 (February 2015) . - pp 1 - 18[article]
contenu dans ICC'15, 27th International Cartographic Conference, Rio de Janeiro, Brazil / International cartographic association = association cartographique internationale (2015)
Titre : Automatic structure detection and generalization of railway networks Type de document : Article/Communication Auteurs : Sandro Savino, Auteur ; Guillaume Touya , Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : aug 2015 Conférence : ICC 2015, 27th International Cartographic Conference, 16th General Assembly 23/08/2015 28/08/2015 Rio de Janeiro Brésil open access proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] détection automatique
[Termes IGN] données localisées des bénévoles
[Termes IGN] généralisation automatique de données
[Termes IGN] OpenStreetMap
[Termes IGN] réseau ferroviaire
[Vedettes matières IGN] GénéralisationRésumé : (auteur) Unlike road or river networks, railway networks automatic generalization are missing to properly handle the detailed networks provided in current geo-datasets like OpenStreetMap. This paper proposes automatic methods to automatically identify key structures of railway networks, such as parallel main tracks, or fan and pack patterns inside large train stations. Then, algorithms based on the detected structures are proposed to generalize the railway networks. The algorithms are tested on real datasets, including OpenStreetMap data. Numéro de notice : C2015-035 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://icaci.org/files/documents/ICC_proceedings/ICC2015/papers/3/fullpaper/sav [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83187 Documents numériques
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Automatic structure detectionAdobe Acrobat PDF Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)
Titre : Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Editeur : Milan : Politechnico di Milano Année de publication : 2015 Collection : Geomatics workbooks (Laboratorio di geomatica), ISSN 1591-092X num. 12 Conférence : FOSS4G 2015 Europe conference, Free and open-source software for geospatial 15/07/2015 17/07/2015 Como Italie open access abstracts Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse comparative
[Termes IGN] appariement automatique
[Termes IGN] détection automatique
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] Géoxygène (plateforme de généralisation)
[Termes IGN] mise à jour de base de données
[Termes IGN] PostgreSQL
[Termes IGN] précision de localisation
[Termes IGN] qualité des données
[Termes IGN] sport
[Termes IGN] trace GPSRésumé : (auteur) Nowadays, needs for very up to date referential spatial data increase significantly. Thus, a continuous update of authoritative spatial databases becomes highly demanding task in both aspects, technical and financial. In the same time, alternative sources of spatial data, such as Volunteered Geographical Information – VGI (Goodchild, 2007) seems to be suitable solution. This data is easy available and is being collected in almost every moment somewhere in the world. The main objective of our research is proposing a method for identifying potential updates in authoritative spatial databases using VGI data, more precisely GPS tracks. We identified walkway and tractor as very challenging types of roads for continuous update due to their intermittent nature (e.g. they appear and disappear very often) and various landscape (e.g. forest, high mountains, seashore, etc.). Even though, these types of roads are not of the highest priority for a national mapping agency, they are still very important for production of touristic maps and for other different applications such as defense, sport activities, etc. That is why we have focused on GPS traces obtained in sport activities. To detect potential update, links between similar features need to be defined. This step consists in applying a data matching algorithm in order to match VGI and authoritative data. Then, the question of VGI tracks quality arises. Furthermore, VGI traces are collected without any specified procedures, less or inexistent metadata, usually by low class GPS devices. Hence, heterogeneity of data is very high as well as spatial inaccuracy. In this work we focus on examination of data quality, especially on its spatial and temporal aspects. First, we present an overview of VGI data sources (websites) and the heterogeneities that characterize them. In terms of data, we can rely on spatiotemporal data (i.e. coordinates and sometimes elevation and timestamps) as well as on a variety of descriptive information in text format such as: type of activity, difficulty, trace description etc. Second, providing a comprehensive analysis of elements which affect GPS data quality is necessary. Sources of errors related to technical aspect of GPS data collection are partially important for our work. Since we use data obtained by low class GPS receivers, which positional accuracy is at meter level, we are not concerned about the sources that affect the accuracy at sub-meter level. Therefore, our attention is directed to identifying and classifying sources of errors according to which extent they affect positional accuracy of GPS tracks. Finally, we are interested in evaluation of data quality by analyzing VGI data itself, without comparing it to referential data. Thus, we tend to obtain the more statistical indicators of data quality that we can, such as indicators of: spatial dispersion, precision, reliability, correlation between data etc. As a result, a process of automatic collection of GPS traces from web-sites and storing them into PostgreSQL database was created. Evaluation of data quality is conducted by using an open source platform GeOxygene, developed by COGIT laboratory. Numéro de notice : C2015-040 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : http://geomatica.como.polimi.it/workbooks/n12/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83204 Documents numériques
en open access
Detection of potential updates - résuméAdobe Acrobat PDF Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources / Stefan Ivanovic (2015)
contenu dans AGILE PhD School 2015, PhD School of the Association of Geographic Information Laboratories for Europe / Stefan Ivanovic (2015)
Titre : Detection of potential updates of authoritative spatial databases by fusion of Volunteered Geographical Information from different sources Type de document : Article/Communication Auteurs : Stefan Ivanovic (1988 - 2020) , Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Sébastien Mustière , Auteur ; Thomas Devogele , Auteur Editeur : Aix-la-Chapelle [Allemagne] : CEUR-WS Année de publication : 2015 Collection : CEUR Workshop Proceedings, ISSN 1613-0073 num. 1598 Conférence : AGILE PhD-School 2015 15/09/2015 18/09/2015 Champs-sur-Marne France open access proceedings Importance : 3 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données localisées
[Termes IGN] conflation
[Termes IGN] données localisées des bénévoles
[Termes IGN] mise à jour de base de donnéesNuméro de notice : C2015-009 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Date de publication en ligne : 02/06/2016 En ligne : http://ceur-ws.org/Vol-1598/paper15.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81038 Documents numériques
en open access
Detection of potential updatesAdobe 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)PermalinkOpenStreetMap in GIScience : experiences, research, and applications. Inferring the Scale of OpenStreetMap Features / Guillaume Touya (2015)PermalinkQuels usages effectifs de l’information géographique volontaire pour la production et la gestion des services urbains ? Application au secteur de l’eau et de l’assainissement dans les villes d’Afrique Subsaharienne / Cécile Remy (2015)PermalinkPermalinkA comprehensive framework for intrinsic OpenStreetMap quality analysis / Christopher Barron in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkDigging into the history of VGI data-sets: results from a worldwide study on OpenStreetMap mapping activity / Simon Gröchenig in Journal of location-based services, vol 8 n° 3 ([01/11/2014])PermalinkAnalysis of interaction and co-editing patterns amongst Openstreetmap contributors / Peter Mooney in Transactions in GIS, vol 18 n° 5 (October 2014)PermalinkLarge-scale geo-tagged video indexing and queries / He Ma in Geoinformatica, vol 18 n° 4 (October 2014)PermalinkInformation géographique collaborative / Serena Coetzee in Cartes & Géomatique, n° 221 (septembre 2014)PermalinkDefacing the map : cartographic vandalism in the digital commons / Andrea Ballatore in Cartographic journal (the), vol 51 n° 3 (August 2014)Permalink