Centre de documentation
scientifique

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

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
20993-01	CG2010	Livre	Centre de documentation	Congrès	Disponible

Estimation of imprecision in length and area computation in vector databases including production processes description / Jean-François Girres (26/05/2010)    

Public Titre : Estimation of imprecision in length and area computation in vector databases including production processes description Type de document : Article/Communication Auteurs : Jean-François Girres , Auteur ; Anne Ruas , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 26/05/2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-2 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 : 6 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de connaissances [Termes IGN] base de données vectorielles [Termes IGN] base de règles [Termes IGN] évaluation des données [Termes IGN] hétérogénéité spatiale [Termes IGN] imprécision géométrique [Termes IGN] processus [Termes IGN] qualité des données Résumé : (Auteur) This paper presents a research on the estimation of the impact of geometric imprecision on basic measurements (length, area) in vector databases, in order to generate relevant information for decision making. The goal consists in the elaboration of a model allowing a non-expert user to evaluate the geometric imprecision of its dataset, using data analysis as well as description of production processes (such as digitising or generalisation). We suppose that these processes induce variable contribution to errors in a dataset, and are exposed to spatial heterogeneity according to the geographical context. This model lays on a knowledge base, based on measurements, contextual indicators and additional information on the dataset production. In order to evaluate a dataset's geometric imprecision impact without any reference, decision rules are under development, using the knowledge base coupled with hypothesis on the influence of the geographical context on production processes. Experimentation on a road network illustrates the respective impact of production processes in the final length measurement error. Possibilities to communicate this impact following a particular usage are also evocated. Numéro de notice : C2010-045 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part2/Papers/125_Paper.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64316

Documents numériques

peut être téléchargé Estimation of imprecision in length and ... - pdf auteur Adobe Acrobat PDF

Normalizing spatial information to improve geographical information indexing and retrieval in digital libraries / D. Palacio (26/05/2010)    

Public Titre : Normalizing spatial information to improve geographical information indexing and retrieval in digital libraries Type de document : Article/Communication Auteurs : D. Palacio, Auteur ; Christian Sallaberry, Auteur ; Mauro Gaio, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 26/05/2010 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 : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données [Termes IGN] bibliothèque numérique [Termes IGN] indexation spatiale [Termes IGN] normalisation [Termes IGN] recherche d'information géographique Résumé : (Auteur) Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents. Numéro de notice : C2010-046 Affiliation des auteurs : non IGN Autre URL associée : vers ISPRS Thématique : GEOMATIQUE Nature : Communication DOI : 10.1007/978-3-642-25926-5_6 Date de publication en ligne : 06/03/2012 En ligne : http://dx.doi.org/10.1007/978-3-642-25926-5_6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64318

Documents numériques

en open access 14252_ctap_isprs_vol38part2_94_paper_palacio.pdf Adobe Acrobat PDF

Spatio-temporal trajectory analysis of mobile objects following the same itinerary / Laurent Etienne (26/05/2010)    

Public Titre : Spatio-temporal trajectory analysis of mobile objects following the same itinerary Type de document : Article/Communication Auteurs : Laurent Etienne, Auteur ; Thomas Devogele , Auteur ; Alain Bouju, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 26/05/2010 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 38-2 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 : 6 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] comportement [Termes IGN] exploration de données géographiques [Termes IGN] navire [Termes IGN] objet mobile [Termes IGN] reconstruction d'itinéraire ou de trajectoire [Termes IGN] trajectoire (véhicule non spatial) Résumé : (Auteur) More and more mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowadays, the data produced by these sensors can be stored in spatio-temporal databases. The main goal of this article is to perform a data mining on a huge quantity of mobile object's positions moving in an open space in order to deduce its behaviour. New tools must be defined to ease the detection of outliers. First of all, a zone graph is set up in order to define itineraries. Then, trajectories of mobile objects following the same itinerary are extracted from the spatio-temporal database and clustered. A statistical analysis on this set of trajectories lead to spatio-temporal patterns such as the main route and spatio-temporal channel followed by most of trajectories of the set. Using these patterns, unusual situations can be detected. Furthermore, a mobile object's behaviour can be defined by comparing its positions with these spatio-temporal patterns. In this article, this technique is applied to ships' movements in an open maritime area. Unusual behaviours such as being ahead of schedule or delayed or veering to the left or to the right of the main route are detected. A case study illustrates these processes based on ships' positions recorded during two years around the Brest area. This method can be extended to almost all kinds of mobile objects (pedestrians, aircrafts, hurricanes, ...) moving in an open area. Numéro de notice : C2010-047 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVIII/part2/Papers/50_Paper.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64319

Documents numériques

en open access 14253_ctap_isprs_vol38part2_50_paper_devogele.pdf Adobe Acrobat PDF