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Knowledge discovery from area-class resource maps: capturing prototype effects / F. Qi in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)
[article]
Titre : Knowledge discovery from area-class resource maps: capturing prototype effects Type de document : Article/Communication Auteurs : F. Qi, Auteur ; A - Xing Zhu, Auteur ; Tao Pei, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 223 - 237 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] classification à base de connaissances
[Termes IGN] exploration de données
[Termes IGN] extraction de données
[Termes IGN] objet géographique
[Termes IGN] outil de découverte de connaissancesRésumé : (Auteur) This paper presents a knowledge discovery approach to extracting knowledge from area-class resource maps. Prototype theory forms the basis of the approach which consists of two major components: (1) a scheme for organizing knowledge used in categorizing geographic entities which allows for the modeling of indeterminate boundaries and non-uniform memberships within categories; and (2) a data mining method using the Expectation Maximization (EM) algorithm for extracting such knowledge from area-class maps. A case study on knowledge discovery from a soil map demonstrates the details of the approach. The study shows that knowledge for classifying geographic entities with indeterminate boundaries is embedded in area-class maps and can be extracted through data mining; and that continuous spatial variation of geographic entities can be better modeled if the knowledge discovery process retains knowledge of within-class variations as well as transitions between classes. Copyright CaGISociety Numéro de notice : A2008-437 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304008786140533 En ligne : https://doi.org/10.1559/152304008786140533 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29506
in Cartography and Geographic Information Science > vol 35 n° 4 (October 2008) . - pp 223 - 237[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-08041 RAB Revue Centre de documentation En réserve L003 Disponible Neuro-fuzzy based analysis of hyperspectral imagery / F. Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)
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Titre : Neuro-fuzzy based analysis of hyperspectral imagery Type de document : Article/Communication Auteurs : F. Qiu, Auteur Année de publication : 2008 Article en page(s) : pp 1235 - 1247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Chine
[Termes IGN] classification floue
[Termes IGN] classification hybride
[Termes IGN] classification par réseau neuronal
[Termes IGN] découverte de connaissances
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectraleRésumé : (Auteur) A neuro-fuzzy system, namely Gaussian Fuzzy Learning Vector Quantization (GFLVQ), was developed based on the synergy of a neural network and a fuzzy system. GFLVQ is both a fuzzy neural network and a neural fuzzy system with supervised learning and unsupervised self-organizing capabilities. In this paper, GFLVQ was further improved to efficiently and effectively process hyperspectral data through training data informed initialization and a simplified fuzzy learning algorithm. A geovisualization tool was developed to facilitate knowledge discovery and understanding of the hyperspectral image. A case study was conducted using a Hyperion image. The results obtained from the improved neuro-fuzzy system were found to be significantly better than those from conventional statistics-based and endmember-based classifiers. The fuzzy spectral profiles produced from the geovisualization tool provided an extra insight into the neuro-fuzzy learning process, further opening up the black box of the neural network. Copyright ASPRS Numéro de notice : A2008-375 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.10.1235 En ligne : https://doi.org/10.14358/PERS.74.10.1235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29368
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 10 (October 2008) . - pp 1235 - 1247[article]Producing geo-historical context from implicit sources: a geovisual analytics approach / B. Tomaszewski in Cartographic journal (the), vol 45 n° 3 (August 2008)
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Titre : Producing geo-historical context from implicit sources: a geovisual analytics approach Type de document : Article/Communication Auteurs : B. Tomaszewski, Auteur Année de publication : 2008 Article en page(s) : pp 165 - 181 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] découverte de connaissances
[Termes IGN] gestion de crise
[Termes IGN] modèle conceptuel de données
[Termes IGN] prise en compte du contexte
[Termes IGN] recherche d'information géographiqueRésumé : (Auteur) Geo-historical context, or GHC, is a contextual setting based on the interconnectedness of phenomena, events, and place across multiple spatial and temporal scales. GHC allows for situations to be understood and reasoned with, often with aid of visual representations such as maps. This paper introduces a conceptual model of GHC that theoretically motivates a Geovisual Analytics application called the Context Discovery Application (CDA), which is also presented. The CDA is designed to aid in the production of geo-historical context by using computational processes to identify and extract potentially relevant context information from heterogeneous, implicit situation information. This information can then be explored through visual interfaces to help users explain and understand the information. A hypothetical humanitarian context analysis case study is used to show how the CDA can be applied to real world problems. Copyright British Cartographic Society Numéro de notice : A2008-273 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870408X311369 En ligne : https://doi.org/10.1179/000870408X311369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29266
in Cartographic journal (the) > vol 45 n° 3 (August 2008) . - pp 165 - 181[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-08031 RAB Revue Centre de documentation En réserve L003 Disponible The time wave: a new method of visual exploration of geo-data in timespace / X. Li in Cartographic journal (the), vol 45 n° 3 (August 2008)
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Titre : The time wave: a new method of visual exploration of geo-data in timespace Type de document : Article/Communication Auteurs : X. Li, Auteur ; Menno-Jan Kraak, Auteur Année de publication : 2008 Article en page(s) : pp 193 - 200 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] espace-temps
[Termes IGN] exploration de données géographiques
[Termes IGN] onde
[Termes IGN] représentation graphiqueRésumé : (Auteur) Today's data-rich environment creates its own problems since exploring and analysing vast volumes of spatio-temporal data have become increasingly difficult. It is suggested to approach this problem not only via location-space or attribute-space as is traditionally done in GIScience, but also via time-space. This time-visualisation approach considers the data, the user tasks and the visualisation representations, and aims to improve accessibility, exploration and analysis of huge amounts of geo-data to support geovisual analytics. To reach this objective, the time wave as the temporal visual representation is introduced. The time wave combines the strengths of both the timeline and the time wheel and as such is able to represent linear and cyclic time simultaneously, even at different levels of granularity. The time wave can be used in its role as temporal reference system, as temporal data representation tool, and as temporal interaction tool. It functions in combination with other graphic representations that are typical for location-space and attribute-space. Copyright British Cartographic Society Numéro de notice : A2008-275 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870408X311387 En ligne : https://doi.org/10.1179/000870408X311387 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29268
in Cartographic journal (the) > vol 45 n° 3 (August 2008) . - pp 193 - 200[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-08031 RAB Revue Centre de documentation En réserve L003 Disponible Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) / D. Guo in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)
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Titre : Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) Type de document : Article/Communication Auteurs : D. Guo, Auteur Année de publication : 2008 Article en page(s) : pp 801 - 823 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] agrégation de données
[Termes IGN] exploration de données géographiques
[Termes IGN] partitionnement
[Termes IGN] régionalisation (segmentation)
[Termes IGN] regroupement de donnéesRésumé : (Auteur) Regionalization is to divide a large set of spatial objects into a number of spatially contiguous regions while optimizing an objective function, which is normally a homogeneity (or heterogeneity) measure of the derived regions. This research proposes and evaluates a family of six hierarchical regionalization methods. The six methods are based on three agglomerative clustering approaches, including the single linkage, average linkage (ALK), and the complete linkage (CLK), each of which is constrained with spatial contiguity in two different ways (i.e. the first-order constraining and the full-order constraining). It is discovered that both the Full-Order-CLK and the Full-Order-ALK methods significantly outperform existing methods across four quality evaluations: the total heterogeneity, region size balance, internal variation, and the preservation of data distribution. Moreover, the proposed algorithms are efficient and can find the solution in O(n 2log n) time. With such data scalability, for the first time it is possible to effectively regionalize large data sets that have 10 000 or more spatial objects. A detailed comparison and evaluation of the six methods are carried out with the 2004 US presidential election data. Copyright Taylor & Francis Numéro de notice : A2008-233 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Article DOI : 10.1080/13658810701674970 En ligne : https://doi.org/10.1080/13658810701674970 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29228
in International journal of geographical information science IJGIS > vol 22 n° 6-7 (june 2008) . - pp 801 - 823[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-08041 RAB Revue Centre de documentation En réserve L003 Disponible 079-08042 RAB Revue Centre de documentation En réserve L003 Disponible E-11 - Extraction et gestion des connaissances EGC'2008 (2 volumes) (Bulletin de Revue des Nouvelles Technologies de l'Information, E-11 [01/04/2008]) / Fabrice GuilletPermalinkReducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results / Vania Bogorny in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)PermalinkEmbedding sustainable development strategies in agent-based models for use as a planning tool / X. Li in International journal of geographical information science IJGIS, vol 22 n° 1-2 (february 2008)PermalinkCSTST 2008, the 5th International conference on soft computing as transdisciplinary science and technology, October 28th - October 31st 2008, University of Cergy-Pontoise, France / Richard Chbeir (2008)PermalinkDiagnosis in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)PermalinkKnowledge revision in systems based on an informed tree search strategy: application to cartographic generalisation / Patrick Taillandier (2008)PermalinkTransposition de la directive INSPIRE / Serge Lhomme (2008)PermalinkA 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)PermalinkGeovisual analytics for decision support setting the research agenda / Gennady Adrienko in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)PermalinkHighlighting space-time patterns: effective visual encoding for interactive decision-making / Mike Sips in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)Permalink