Geoinformatica . vol 15 n° 1Mention de date : January 2011 Paru le : 01/01/2011 ISBN/ISSN/EAN : 1384-6175 |
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Ajouter le résultat dans votre panierA framework for regional association rule mining and scoping in spatial datasets / W. Ding in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : A framework for regional association rule mining and scoping in spatial datasets Type de document : Article/Communication Auteurs : W. Ding, Auteur ; C. Eick, Auteur ; X. Yuan, Auteur ; Jing Wang, Auteur ; J.P. Nicot, Auteur Année de publication : 2011 Article en page(s) : pp 1 - 28 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse de groupement
[Termes IGN] découverte de connaissances
[Termes IGN] exploration de données géographiques
[Termes IGN] règle d'associationRésumé : (Auteur) The motivation for regional association rule mining and scoping is driven by the facts that global statistics seldom provide useful insight and that most relationships in spatial datasets are geographically regional, rather than global. Furthermore, when using traditional association rule mining, regional patterns frequently fail to be discovered due to insufficient global confidence and/or support. In this paper, we systematically study this problem and address the unique challenges of regional association mining and scoping: (1) region discovery: how to identify interesting regions from which novel and useful regional association rules can be extracted; (2) regional association rule scoping: how to determine the scope of regional association rules. We investigate the duality between regional association rules and regions where the associations are valid: interesting regions are identified to seek novel regional patterns, and a regional pattern has a scope of a set of regions in which the pattern is valid. In particular, we present a reward-based region discovery framework that employs a divisive grid-based supervised clustering for region discovery. We evaluate our approach in a real-world case study to identify spatial risk patterns from arsenic in the Texas water supply. Our experimental results confirm and validate research results in the study of arsenic contamination, and our work leads to the discovery of novel findings to be further explored by domain scientists. Numéro de notice : A2011-026 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-010-0111-6 Date de publication en ligne : 18/06/2010 En ligne : https://doi.org/10.1007/s10707-010-0111-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30807
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 1 - 28[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible A hybrid classification scheme for mining multisource geospatial data / R. Vatsavai in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : A hybrid classification scheme for mining multisource geospatial data Type de document : Article/Communication Auteurs : R. Vatsavai, Auteur ; B. Bhaduri, Auteur Année de publication : 2011 Article en page(s) : pp 29 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage semi-dirigé
[Termes IGN] classification de Dempster-Shafer
[Termes IGN] classification hybride
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] données auxiliaires
[Termes IGN] exploration de données géographiques
[Termes IGN] image Landsat
[Termes IGN] image multibande
[Termes IGN] précision de la classificationRésumé : (Auteur) Supervised learning methods such as Maximum Likelihood (ML) are often used in land cover (thematic) classification of remote sensing imagery. ML classifier relies exclusively on spectral characteristics of thematic classes whose statistical distributions (class conditional probability densities) are often overlapping. The spectral response distributions of thematic classes are dependent on many factors including elevation, soil types, and ecological zones. A second problem with statistical classifiers is the requirement of the large number of accurate training samples (10 to 30 * |dimensions|), which are often costly and time consuming to acquire over large geographic regions. With the increasing availability of geospatial databases, it is possible to exploit the knowledge derived from these ancillary datasets to improve classification accuracies even when the class distributions are highly overlapping. Likewise newer semi-supervised techniques can be adopted to improve the parameter estimates of the statistical model by utilizing a large number of easily available unlabeled training samples. Unfortunately, there is no convenient multivariate statistical model that can be employed for multisource geospatial databases. In this paper we present a hybrid semi-supervised learning algorithm that effectively exploits freely available unlabeled training samples from multispectral remote sensing images and also incorporates ancillary geospatial databases. We have conducted several experiments on Landsat satellite image datasets, and our new hybrid approach shows over 24% to 36% improvement in overall classification accuracy over conventional classification schemes. Numéro de notice : A2011-027 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-010-0113-4 Date de publication en ligne : 22/07/2010 En ligne : https://doi.org/10.1007/s10707-010-0113-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30808
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 29 - 47[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Crime analysis through spatial areal aggregated density patterns / P. Phillips in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : Crime analysis through spatial areal aggregated density patterns Type de document : Article/Communication Auteurs : P. Phillips, Auteur ; I. Lee, Auteur Année de publication : 2011 Article en page(s) : pp 49 - 74 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agrégation spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] densité
[Termes IGN] distribution spatiale
[Termes IGN] infraction
[Termes IGN] modèle de densitéRésumé : (Auteur) Intelligent crime analysis allows for a greater understanding of the dynamics of unlawful activities, providing possible answers to where, when and why certain crimes are likely to happen. We propose to model density change among spatial regions using a density tracing based approach that enables reasoning about large areal aggregated crime datasets. We discover patterns among datasets by finding those crime and spatial features that exhibit similar spatial distributions by measuring the dissimilarity of their density traces. The proposed system incorporates both localized clusters (through the use of context sensitive weighting and clustering) and the global distribution trend. Experimental results validate and demonstrate the robustness of our approach. Numéro de notice : A2011-028 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-010-0116-1 Date de publication en ligne : 03/10/2010 En ligne : https://doi.org/10.1007/s10707-010-0116-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30809
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 49 - 74[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible TIDES, a new descriptor for time series oscillation behavior / L. Mariote in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : TIDES, a new descriptor for time series oscillation behavior Type de document : Article/Communication Auteurs : L. Mariote, Auteur ; C. Medeiros, Auteur ; Ricardo Da Silva Torres, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 75 - 109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] exploration de données géographiques
[Termes IGN] oscillation
[Termes IGN] série temporelleRésumé : (Auteur) Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses the problems of indexing, clustering, classification, summarization, and anomaly detection. There is a wide range of techniques to describe and compare time series, but they focus on series’ values. This paper concentrates on a new aspect—that of describing oscillation patterns. It presents a technique for time series similarity search, and multiple temporal scales, defining a descriptor that uses the angular coefficients from a linear segmentation of the curve that represents the evolution of the analyzed series. This technique is generalized to handle co-evolution, in which several phenomena vary at the same time. Preliminary experiments with real datasets showed that our approach correctly characterizes the oscillation of single time series, for multiple time scales, and is able to compute the similarity among sets of co-evolving series. Numéro de notice : A2011-029 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-010-0112-5 Date de publication en ligne : 18/06/2010 En ligne : https://doi.org/10.1007/s10707-010-0112-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30810
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 75 - 109[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible OpenModeller : a generic approach to species’ potential distribution modelling / M. De Souza Munoz in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : OpenModeller : a generic approach to species’ potential distribution modelling Type de document : Article/Communication Auteurs : M. De Souza Munoz, Auteur ; R. De Giovanni, Auteur ; M. De Siqueira, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 111 - 135 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] distribution spatiale
[Termes IGN] espèce végétale
[Termes IGN] logiciel libre
[Termes IGN] niche écologique
[Termes IGN] population animaleRésumé : (Auteur) Species’ potential distribution modelling is the process of building a representation of the fundamental ecological requirements for a species and extrapolating these requirements into a geographical region. The importance of being able to predict the distribution of species is currently highlighted by issues like global climate change, public health problems caused by disease vectors, anthropogenic impacts that can lead to massive species extinction, among other challenges. There are several computational approaches that can be used to generate potential distribution models, each achieving optimal results under different conditions. However, the existing software packages available for this purpose typically implement a single algorithm, and each software package presents a new learning curve to the user. Whenever new software is developed for species’ potential distribution modelling, significant duplication of effort results because many feature requirements are shared between the different packages. Additionally, data preparation and comparison between algorithms becomes difficult when using separate software applications, since each application has different data input and output capabilities. This paper describes a generic approach for building a single computing framework capable of handling different data formats and multiple algorithms that can be used in potential distribution modelling. The ideas described in this paper have been implemented in a free and open source software package called openModeller. The main concepts of species’ potential distribution modelling are also explained and an example use case illustrates potential distribution maps generated by the framework. Numéro de notice : A2011-030 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0090-7 Date de publication en ligne : 18/08/2009 En ligne : https://doi.org/10.1007/s10707-009-0090-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30811
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 111 - 135[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible How to achieve consistency for 3D city models / G. Groger in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : How to achieve consistency for 3D city models Type de document : Article/Communication Auteurs : G. Groger, Auteur ; L. Plumer, Auteur Année de publication : 2011 Article en page(s) : pp 137 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] CityGML
[Termes IGN] cohérence des données
[Termes IGN] contrainte de cohérence
[Termes IGN] géomètrie algorithmique
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] solide
[Termes IGN] surface (géométrie)Résumé : (Auteur) Consistency is a crucial prerequisite for a large number of relevant applications of 3D city models, which have become more and more important in GIS. Users need efficient and reliable consistency checking tools in order to be able to assess the suitability of spatial data for their applications. In this paper we provide the theoretical foundations for such tools by defining an axiomatic characterization of 3D city models. These axioms are effective and efficiently supported by recent spatial database management systems and methods of Computational Geometry or Computer Graphics. They are equivalent to the topological concept of the 3D city model presented in this paper, thereby guaranteeing the reliability of the method. Hence, each error is detected by the axioms, and each violation of the axioms is in fact an error. This property, which is proven formally, is not guaranteed by existing approaches. The efficiency of the method stems from its locality: in most cases, consistency checks can safely be restricted to single components, which are defined topologically. We show how a 3D city model can be decomposed into such components which are either topologically equivalent to a disk, a sphere, or a torus, enabling the modeling of the terrain, of buildings and other constructions, and of bridges and tunnels, which are handles from a mathematical point of view. This enables a modular design of the axioms by defining axioms for each topological component and for the aggregation of the components. Finally, a sound, consistent concept for aggregating features, i.e. semantical objects like buildings or rooms, to complex features is presented. Numéro de notice : A2011-031 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0091-6 Date de publication en ligne : 20/08/2009 En ligne : https://doi.org/10.1007/s10707-009-0091-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30812
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 137 - 165[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Computational method for the point cluster analysis on networks / K. Sugihara in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : Computational method for the point cluster analysis on networks Type de document : Article/Communication Auteurs : K. Sugihara, Auteur ; Atsuyuki Okabe, Auteur ; T. Satoh, Auteur Année de publication : 2011 Article en page(s) : pp 167 - 189 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] approche hiérarchique
[Termes IGN] distance euclidienne
[Termes IGN] réseau
[Termes IGN] tâche claireRésumé : (Auteur) We present a general framework of hierarchical methods for point cluster analysis on networks, and then consider individual clustering procedures and their time complexities defined by typical variants of distances between clusters. The distances considered here are the closest-pair distance, the farthest-pair distance, the average distance, the median-pair distance and the radius distance. This paper will offer a menu for users to choose hierarchical clustering algorithms on networks from a time complexity point of view. Numéro de notice : A2011-032 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0092-5 Date de publication en ligne : 03/09/2009 En ligne : https://doi.org/10.1007/s10707-009-0092-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30813
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 167 - 189[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Functional description of geoprocessing services as conjunctive datalog queries / D. Fitzner in Geoinformatica, vol 15 n° 1 (January 2011)
[article]
Titre : Functional description of geoprocessing services as conjunctive datalog queries Type de document : Article/Communication Auteurs : D. Fitzner, Auteur ; J. Hoffmann, Auteur ; E. Klien, Auteur Année de publication : 2011 Article en page(s) : pp 191 - 221 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] appariement de données localisées
[Termes IGN] découverte de connaissances
[Termes IGN] programmation en logique
[Termes IGN] requête spatiale
[Termes IGN] service web géographique
[Termes IGN] Web Processing Service
[Termes IGN] web sémantiqueRésumé : (Auteur) Discovery of suitable web services is a crucial task in Spatial Data Infrastructures (SDI). In this work, we develop a novel approach to the discovery of geoprocessing services (WPS). Discovery requests and Web Processing Services are annotated as conjunctive queries in a logic programming (LP) language and the discovery process is based on Logic Programming query containment checking between these descriptions. Besides the types of input and output, we explicitly formalise the relation between them and hence are able to capture the functionality of a WPS more precisely. The use of Logic Programming query containment allows for effective reasoning during discovery. Furthermore, the relative simplicity of the semantic descriptions is advantageous for their creation by non-logics experts. The developed approach is applicable in the Web Service Modeling Framework (WSMF), a state-of-the-art semantic web service framework. Numéro de notice : A2011-033 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-009-0093-4 Date de publication en ligne : 09/10/2009 En ligne : https://doi.org/10.1007/s10707-009-0093-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30814
in Geoinformatica > vol 15 n° 1 (January 2011) . - pp 191 - 221[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2011011 RAB Revue Centre de documentation En réserve L003 Disponible