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Using clustering methods in geospatial information systems / X. Wang in Geomatica, vol 64 n° 3 (September 2010)

Public [article]  inGeomatica > vol 64 n° 3 (September 2010) . - pp 347 - 361 Titre : Using clustering methods in geospatial information systems Type de document : Article/Communication Auteurs : X. Wang, Auteur ; Jing Wang, Auteur Année de publication : 2010 Article en page(s) : pp 347 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] analyse spatiale [Termes descripteurs IGN] attribut sémantique [Termes descripteurs IGN] distance euclidienne [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] modèle conceptuel de données localisées [Termes descripteurs IGN] regroupement de données [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] test de performance Résumé : (Auteur) Spatial clustering is the process of grouping similar objects based on their distance, connectivity, or rel-ative density in space. It has been employed in the field of spatial analysis for years. In order to select the prop-er spatial clustering methods for geospatial information systems, we need to consider the characteristics of different clustering methods, relative to the objectives that we are trying to achieve. In this paper, we give a detailed discussion of different types of clustering methods from a data mining perspective. Analysis of the advantages and limitations of some classical clustering methods are given. Subsequently we discuss applying spatial clustering methods as part of geospatial information systems, with respect to distance functions, data models, non-spatial attributes and performance. Numéro de notice : A2010-529 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30721 [article]

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User defined topological predicates in databases systems / T. Behr in Geoinformatica, vol 14 n° 1 (January 2010)  

Public [article]  inGeoinformatica > vol 14 n° 1 (January 2010) . - pp 23 - 53 Titre : User defined topological predicates in databases systems Type de document : Article/Communication Auteurs : T. Behr, Auteur ; Ralf Hartmut Güting, Auteur Année de publication : 2010 Article en page(s) : pp 23 - 53 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] attribut [Termes descripteurs IGN] base de données spatiotemporelles [Termes descripteurs IGN] langage de requête [Termes descripteurs IGN] prédicat [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] requête spatiale [Termes descripteurs IGN] utilisateur Résumé : (Auteur) Current database systems cannot only store standard data like integer, string, and real values, but also spatial data like points, lines, and regions. The importance of topological relationships between spatial objects has been recognized a long time ago. Using the well known 9-intersection model for describing such relationships, a lot of different topological relationships can be distinguished. For the query language of a database system, it is not desirable to have such a large number of topological predicates. Particularly the query language should not be extended by a lot of predicate names. It is desirable to build new relationships from existing ones, for example to coarse the granularity. This paper describes how a database system user can define and use her own topological predicates. We show algorithms for computing such predicates in an efficient way. Last, we compare these general versions with specialized implementations of topological predicates. Copyright Springer Numéro de notice : A2010-010 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-008-0075-y date de publication en ligne : 15/01/2009 En ligne : https://doi.org/10.1007/s10707-008-0075-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30206 [article]

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A prototype feature system for feature retrieval using relationships / J. Choi in Cartography and Geographic Information Science, vol 36 n° 4 (October 2009)

Public [article]  inCartography and Geographic Information Science > vol 36 n° 4 (October 2009) . - pp 331 - 345 Titre : A prototype feature system for feature retrieval using relationships Type de document : Article/Communication Auteurs : J. Choi, Auteur ; E. Lynn Usery, Auteur Année de publication : 2009 Article en page(s) : pp 331 - 345 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes descripteurs IGN] attribut sémantique [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] bati [Termes descripteurs IGN] Etats-Unis [Termes descripteurs IGN] modèle orienté objet [Termes descripteurs IGN] prototype [Termes descripteurs IGN] relation topologique [Termes descripteurs IGN] requête non spatiale [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features. Numéro de notice : A2009-440 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30071 [article]

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St-DMQL: a semantic trajectory data mining query language / V. Bogorny in International journal of geographical information science IJGIS, vol 23 n°9-10 (september 2009)

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°9-10 (september 2009) . - pp 1245 - 1276 Titre : St-DMQL: a semantic trajectory data mining query language Type de document : Article/Communication Auteurs : V. Bogorny, Auteur ; Bart Kuijpers, Auteur ; L. Alvares, Auteur Année de publication : 2009 Article en page(s) : pp 1245 - 1276 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques [Termes descripteurs IGN] attribut sémantique [Termes descripteurs IGN] découverte de connaissances [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] information sémantique [Termes descripteurs IGN] langage de programmation [Termes descripteurs IGN] langage de requête [Termes descripteurs IGN] navigation [Termes descripteurs IGN] objet mobile [Termes descripteurs IGN] trajectoire Résumé : (Auteur) Mobile devices are becoming very popular in recent years, and large amounts of trajectory data are generated by these devices. Trajectories left behind cars, humans, birds or other objects are a new kind of data which can be very useful in the decision making process in several application domains. These data, however, are normally available as sample points, and therefore have very little or no semantics. The analysis and knowledge extraction from trajectory sample points is very difficult from the user's point of view, and there is an emerging need for new data models, manipulation techniques, and tools to extract meaningful patterns from these data. In this paper we propose a new methodology for knowledge discovery from trajectories. We propose through a semantic trajectory data mining query language several functionalities to select, preprocess, and transform trajectory sample points into semantic trajectories at higher abstraction levels, in order to allow the user to extract meaningful, understandable, and useful patterns from trajectories. We claim that meaningful patterns can only be extracted from trajectories if the background geographical information is considered. Therefore we build the proposed methodology considering both moving object data and geographic information. The proposed language has been implemented in a toolkit in order to provide a first software prototype for trajectory knowledge discovery. Copyright Taylor & Francis Numéro de notice : A2009-388 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30018 [article]

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Extracting composite cartographic area features in low-quality maps / S. Leyk in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)

Public [article]  inCartography and Geographic Information Science > vol 36 n° 1 (January 2009) . - pp 71 - 79 Titre : Extracting composite cartographic area features in low-quality maps Type de document : Article/Communication Auteurs : S. Leyk, Auteur ; R. Boesch, Auteur Année de publication : 2009 Article en page(s) : pp 71 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] attribut géomètrique [Termes descripteurs IGN] carte ancienne [Termes descripteurs IGN] carte topographique [Termes descripteurs IGN] extraction automatique [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] forêt [Termes descripteurs IGN] méthode robuste [Termes descripteurs IGN] objet géographique zonal [Termes descripteurs IGN] signe conventionnel Résumé : (Auteur) We describe an extraction method for area features defined by composite cartographic elements and derived from historical, manually produced maps of low graphical quality. Composite elements appear in many topographic maps of the 19th and 20th century which provide unique information about the landscape of the past. We develop a method from prior research for extracting forest areas from the historic Siegfried Map, on which they are represented by sets of circular forest symbols within boundary regions. First, a prototype search identifies forest symbols characterized by a combination of geometric attributes of connected components, shape descriptions of the local neighborhood, and patterns formed by similar graphic elements. Next, the complete set of forest symbols is iteratively determined by testing forest symbol candidates in the vicinity of the prototypes if they belong to a group of sufficient other candidates. Finally, spatial expansion determines the forest net area described by the composition of recognized forest symbols and continues to fill gaps between forest areas and their boundaries, as well as larger objects within the forest area. Automated extraction from three map pages resulted in an accuracy of K = 95 percent, which indicates high robustness for automated processing of entire map series. The new approach presented in this paper represents a general methodological framework for the extraction of area features from composite map elements in low-quality maps. Copyright CaGISociety Numéro de notice : A2009-042 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29672 [article]

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An analysis of urban spatial structure using comprehensive prominence of irregular areas / C. Zhang in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)

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Cartographie thématique, 3. 3, Méthodes quantitatives et transformations attributaires / Colette Cauvin (2008)

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Matching of 3D surfaces and their intensities / Devrim Akca in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)

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Assessing the effect of attribute uncertainty on the robustness of choropleth map classification / N. Xiao in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)

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DEM resolution dependencies of terrain attributes across a landscape / Y. Deng in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)

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Enabling pattern-aware automated map generalization / Stefan Steiniger (2007) 

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Identification of fixed objects in public transport / J. Gu (2007)

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Mise en place d'un outil de contrôle de saisie des données vectorielles avec GIS Data Reviewer / N. Rakotobe (2006)

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Classification of spatial properties for spatial allocation modeling / T. Shirabe in Geoinformatica, vol 9 n° 3 (September - November 2005)

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Intégration dans le SIG GéoConcept de l'outil "Appel police 17" / C. Mzaouiyani (2004)

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