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Some thoughts on inference in the analysis of spatial data / A. Stewart Fotheringham in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 447 - 457 Titre : Some thoughts on inference in the analysis of spatial data Type de document : Article/Communication Auteurs : A. Stewart Fotheringham, Auteur ; C. Brunsdon, Auteur Année de publication : 2004 Article en page(s) : pp 447 - 457 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] évaluation des données [Termes IGN] inférence statistique [Termes IGN] système d'information géographique [Termes IGN] validité des données Résumé : (Auteur) Statistical inférence is important for all those who engage in the analysis of spatial data. The issue is becoming increasingly important given the explosion in the availability of spatial data and the prolifération of Geographic Information Systems (GIS) across différent academic disciplines and application areas. The aim of this paper is to provide a brief overview of some of the concepts and controversies inherent in statistical inférence in the hope of raising the level of awareness within the geographic information science community that différent points of view exist when it comes to inférence. We argue that the concept of statistical inférence in spatial data analysis and spatial modelling is perhaps broader than many GIS users imagine. In particular, we argue that différent types of inférence exist and that process inférence is just as valid as sample inférence, even though the latter appears to dominate the GIS literature. Numéro de notice : A2004-282 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001658065 En ligne : https://doi.org/10.1080/13658810410001658065 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26809 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A feature-based approach to conflation of geospatial sources / Ashok Samal in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 459 - 489 Titre : A feature-based approach to conflation of geospatial sources Type de document : Article/Communication Auteurs : Ashok Samal, Auteur ; Sharad Seth, Auteur ; K. Cueto, Auteur Année de publication : 2004 Article en page(s) : pp 459 - 489 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] appariement de données localisées [Termes IGN] données multisources [Termes IGN] fusion de données multisource [Termes IGN] graphe [Termes IGN] implémentation (informatique) [Termes IGN] système d'information géographique Résumé : (Auteur) A Geographic Information System (GIS) populated with disparate data sources has multiple and différent representations of the same real-world object. Often, the type of information in these sources is différent, and combining them to generate one composite representation has many benefits. The first step in this conflation process is to identify the features in different sources that represent the same real-world entity. The matching process is not simple, since the identified features from different sources do not always match in their location, extent, and description. We present a new approach to matching GIS features from disparate sources. A graph theoretic approach is used to model the geographic context and to determine the matching features from multiple sources. Experiments on implementation of this approach demonstrate its viability. Numéro de notice : A2004-283 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001658076 En ligne : https://doi.org/10.1080/13658810410001658076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26810 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty / Arko Lucieer in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 491 - 512 Titre : Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty Type de document : Article/Communication Auteurs : Arko Lucieer, Auteur ; Menno-Jan Kraak, Auteur Année de publication : 2004 Article en page(s) : pp 491 - 512 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification floue [Termes IGN] image Landsat-ETM+ [Termes IGN] incertitude des données [Termes IGN] interactivité [Termes IGN] visualisation Résumé : (Auteur) In this study, we propose, describe, and demonstrate a new geovisualization tool to demonstrate the use of exploratory and interactive visualization techniques for a visual fuzzy classification of remotely sensed imagery. The proposed tool uses dynamically linked views, consisting of an image display, a parallel coordinate plot, a 3D feature space plot, and a classified map with an uncertainty map. It allows a geoscientist to interact with the parameters of a fuzzy classification algorithm by visually adjusting fuzzy membership functions and fuzzy transition zones of land-cover classes. The purpose of this tool is to improve insight into fuzzy classification of remotely sensed imagery and related uncertainty. We tested our tool with a visual fuzzy land-cover classification of a Landsat 7 ETM + image of an area ln southern France characterized by objects with indeterminate boundaries. Good results were obtained with the visual classifier. Additionally, a focus-group user test of the tool showed that insight into a fuzzy classification algorithm and classification uncertainty improved considerably. Numéro de notice : A2004-284 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810410001658094 En ligne : https://doi.org/10.1080/13658810410001658094 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26811 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Automated building generalization based on urban morphology and gestalt theory / Z. Li in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 513 - 534 Titre : Automated building generalization based on urban morphology and gestalt theory Type de document : Article/Communication Auteurs : Z. Li, Auteur ; Hongxiang Yan, Auteur ; Tinghua Ai, Auteur ; J. Chen, Auteur Année de publication : 2004 Article en page(s) : pp 513 - 534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale [Termes IGN] base de données cartographiques [Termes IGN] diagramme de Voronoï [Termes IGN] généralisation cartographique automatisée [Termes IGN] généralisation du bâti [Termes IGN] morphologie mathématique [Termes IGN] reconnaissance de formes [Termes IGN] système d'information géographique [Termes IGN] théorie des graphes [Termes IGN] triangulation de Delaunay [Termes IGN] zone urbaine [Vedettes matières IGN] Généralisation Résumé : (Auteur) Building generalization is a difficult operation due to the complexity of the spatial distribution of buildings and for reasons of spatial recognition. In this study, building generalization is decomposed into two steps, i.e. building grouping and generalization execution. The neighbourhood model in urban morphology provides global constraints for guiding the global partitioning of building sets on the whole map by means of roads and rivers, by which enclaves, blocks, superblocks or neighbourhoods are formed, whereas the local constraints from Gestalt principles provide criteria for the further grouping of enclaves, blocks, superblocks and/or neighbourhoods. In the grouping process, graph theory, Delaunay triangulation and the Voronoi diagram are employed as supporting techniques. After grouping, some useful information, such as the sum of the building's area, the mean separation and the standard deviation of the separation of buildings, is attached to each group. By means of the attached information, an appropriate operation is selected to generalize the corresponding groups. Indeed, the methodology described brings together a number of welldeveloped theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived. Numéro de notice : A2004-285 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702021 En ligne : https://doi.org/10.1080/13658810410001702021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26812 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04051	RAB	Revue	Centre de documentation	En réserve L003	Disponible