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Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method / Wen-Bin Zhang in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 9 (September 2019) . - pp 1807 - 1828 Titre : Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method Type de document : Article/Communication Auteurs : Wen-Bin Zhang, Auteur ; Yee Leung, Auteur ; Jiang-Hong Ma, Auteur Année de publication : 2019 Article en page(s) : pp 1807 - 1828 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données localisées [Termes IGN] données localisées des bénévoles [Termes IGN] incertitude de position [Termes IGN] OpenStreetMap [Termes IGN] précision de localisation [Termes IGN] qualité des données [Termes IGN] réseau routier [Termes IGN] SIG participatif [Termes IGN] zone tampon Résumé : (auteur) Volunteered geographic information (VGI) is crowdsourced information that can enrich and enhance research and applications based on geo-referenced data. However, the quality of VGI is of great concern, and positional accuracy is a fundamental basis for the VGI quality assurance. A buffer-zone method can be used for its assessment, but the buffer radius in this technique is subjectively specified; as result, different selections of the buffer radius lead to different positional accuracies. To solve this problem, a statistically defined buffer zone for the positional accuracy assessment in VGI is proposed in this study. To facilitate practical applications, we have also developed an iterative method to obtain a theoretically defined buffer zone. In addition to the positional accuracy assessment, we have derived a measure of positional quality, which comprises the assessment of positional accuracy and the level of confidence in such assessment determined with respect to a statistically defined buffer zone. To illustrate and substantiate the theoretical arguments, both numerical simulations and real-life experiments are performed using OpenStreetMap. The experimental results confirm the high significance of the proposed statistical approach to the buffer zone-based assessment of the positional uncertainty in VGI. Numéro de notice : A2019-390 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1606430 Date de publication en ligne : 29/04/2019 En ligne : https://doi.org/10.1080/13658816.2019.1606430 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93483 [article]

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079-2019091	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2019092	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Advances in spatial data handling and GIS / Wenzhong Shi (2012)  

Public Titre : Advances in spatial data handling and GIS : 14th international symposium on spatial data handling Type de document : Actes de congrès Auteurs : Wenzhong Shi, Éditeur scientifique ; Anthony G.O. Yeh, Éditeur scientifique ; Yee Leung, Éditeur scientifique ; Chenghu Zhou, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2012 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : SDH 2010, 14th International Symposium on Spatial Data Handling, joint conference with ISPRS 26/05/2010 28/05/2010 Hong-Kong Hong-Kong Proceedings Springer Importance : 239 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-642-25925-8 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse spatiale [Termes IGN] détection du bâti [Termes IGN] données localisées [Termes IGN] données spatiotemporelles [Termes IGN] érosion [Termes IGN] exploration de données géographiques [Termes IGN] extraction automatique [Termes IGN] généralisation [Termes IGN] indexation spatiale [Termes IGN] modélisation spatio-temporelle [Termes IGN] reconnaissance de formes [Termes IGN] risque environnemental [Termes IGN] service fondé sur la position [Termes IGN] système d'information géographique [Termes IGN] variogramme Résumé : (Editeur) This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS. Note de contenu : Part 1 - Modeling Space and Time 1. Deriving Space-Time Variograms from Space-Time Autoregressive (STAR) Model Specifications (Daniel A. Griffith and Gerard B.M. Heuvelink) Part 2 - Spatial Analysis and Mining 2. Sampling Survey of Heavy Metal in Soil Using SSSI (Aihua Ma, Jinfeng Wang, and Keli Zhang) 3. An Optimised Cellular Automata Model Based on Adaptive Genetic Algorithm for Urban Growth Simulation (Yongjiu Feng and Yan Liu) 4. Exploratory Spatial Data Analysis of Regional Economic Disparities in Beijing During 2001–2007 (Xiaoyi Ma and Tao Pei) 5. An Approach to Discovering Spatial–Temporal Patterns in Geographical Processes (Siyue Chai, Fenzhen Su, and Weiling Ma) Part 3 - Generalization and Indexing 6. Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries (Damien Palacio, Christian Sallaberry, and Mauro Gaio) 7. Explore Multivariable Spatio-Temporal Data with the Time Wave: Case Study on Meteorological Data (Xia Li and Menno-Jan Kraak) 8. Characterization and Detection of Building Patterns in Cartographic Data: Two Algorithms (Xiang Zhang, Tinghua Ai, and Jantien Stoter) 9. Formalization and Data Enrichment for Automated Evaluation of Building Pattern Preservation (Xiang Zhang, Jantien Stoter, Tinghua Ai, and Menno-Jan Kraak) Part 4 - Pattern Recognition and Object Extraction 10. Graph Based Recognition of Grid Pattern in Street Networks Jing Tian, Tinghua Ai, and Xiaobin Jia 11. Digital Image Processing for Spatial Object Recognition via Integration of Nonlinear Wavelet-Based Denoising and Clustering-Based Segmentation (Zhengmao Ye and Habib Mohamadian) 12. CCSSM: A Toolkit for Information Extraction from Remotely Sensed Imagery (Yong Ge, Chi Zhang, and Hexiang Ba) Part 5 - Location-Based Service 13. Evaluation of Automatically Extracted Landmarks for Future Driver Assistance Systems (Claus Brenner and Sabine Hofmann) 14. Temporally Adaptive A* Algorithm on Time-Dependent Transportation Network (Nianbo Zheng and Feng Lu) 15. Evaluation of Online Itinerary Planner and Investigation of Possible Enhancement Features (Homing Tam and L.S.C. Pun-Cheng) Part 6 - Application of GIS and Remote Sensing 16. A Decision Support Framework for the Risk Assessment of Coastal Erosion in the Yangtze Delta (Xing Li, Yunxuan Zhou, Fang Shen, Runyuan Kuang, Wen Wu, and Zongsheng Zheng) 17. Estimating Ice Thickness in South Georgia from SRTM Elevation Data (A. Paul R. Cooper, James W. Tate, and Alison J. Cook) Numéro de notice : 20993 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-25926-5 En ligne : http://dx.doi.org/10.1007/978-3-642-25926-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=34956

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A rough set approach to the discovery of classification rules in spatial data / Yee Leung in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 1033 - 1058 Titre : A rough set approach to the discovery of classification rules in spatial data Type de document : Article/Communication Auteurs : Yee Leung, Auteur ; T. Fung, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 1033 - 1058 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] base de règles [Termes IGN] classification [Termes IGN] données localisées [Termes IGN] exploration de données géographiques [Termes IGN] image Ikonos [Termes IGN] outil de découverte de connaissances [Termes IGN] raisonnement inductif [Termes IGN] système d'information géographique Résumé : (Auteur) This paper proposes a novel rough set approach to discover classification rules in real-valued spatial data in general and remotely sensed data in particular. A knowledge induction process is formulated to select optimal decision rules with a minimal set of features necessary and sufficient for a remote sensing classification task. The approach first converts a real-valued or integer-valued decision system into an interval-valued information system. A knowledge induction procedure is then formulated to discover all classification rules hidden in the information system. Two real-life applications are made to verify and substantiate the conceptual arguments. It demonstrates that the proposed approach can effectively discover in remotely sensed data the optimal spectral bands and optimal rule set for a classification task. It is also capable of unraveling critical spectral band(s) discerning certain classes. The framework paves the road for data mining in mixed spatial databases consisting of qualitative and quantitative data. Copyright Taylor & Francis Numéro de notice : A2007-555 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601169915 En ligne : https://doi.org/10.1080/13658810601169915 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28918 [article]

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079-07061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

An environmental decision-support system for the management of water pollution in a tidal river network / Yee Leung in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 4 (april 2005) . - pp 483 - 500 Titre : An environmental decision-support system for the management of water pollution in a tidal river network Type de document : Article/Communication Auteurs : Yee Leung, Auteur ; Y. Lee, Auteur ; K. Lin, Auteur ; F.T. Zeng, Auteur Année de publication : 2005 Article en page(s) : pp 483 - 500 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] architecture de système [Termes IGN] Chine [Termes IGN] environnement [Termes IGN] estuaire [Termes IGN] modèle orienté objet [Termes IGN] outil d'aide à la décision [Termes IGN] pollution des eaux [Termes IGN] réseau hydrographique [Termes IGN] système d'information géographique Résumé : (Auteur) This paper is about the development of a decision-support system for water-pollution management and environmental planning. More specifically, the paper first presents the overall concept and the system architecture of a generic environmental decision-support system (EDSS) and then develops an EDSS especially for analysing the tidal flow pattern and water quality of China's Pearl River Delta. The EDSS developed here employs the object-oriented approach to design the environmental database and utilizes the system integration technology to develop the overall user-friendly system that operates in the Windows environment. Furthermore, the system can be expanded to facilitate automated model selection and analysis. The EDSS should be of value for managing water quality of river networks with complicated flow patterns, such as that found in the Pearl River Delta. Numéro de notice : A2005-100 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810412331317751 En ligne : https://doi.org/10.1080/13658810412331317751 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27238 [article]

Exemplaires(2)

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079-05041	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05042	RAB	Revue	Centre de documentation	En réserve L003	Disponible

GeoComputational modelling / Manfred M. Fischer (2001)

Public Titre : GeoComputational modelling : techniques and applications Type de document : Monographie Auteurs : Manfred M. Fischer, Éditeur scientifique ; Yee Leung, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2001 Collection : Advances in spatial science, ISSN 1430-9602 Importance : 275 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-540-41968-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] classification [Termes IGN] classification par réseau neuronal [Termes IGN] image multibande [Termes IGN] modélisation [Termes IGN] réseau neuronal artificiel [Termes IGN] traitement d'image [Termes IGN] urbanisation Numéro de notice : 18559 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie Accessibilité hors numérique : Accessible via le SUDOC (sur demande au cdos) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55428