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An inference-based framework to manage data provenance in geoscience applications / Mohammad Rezwanul Huq in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)
[article]
Titre : An inference-based framework to manage data provenance in geoscience applications Type de document : Article/Communication Auteurs : Mohammad Rezwanul Huq, Auteur ; Peter M.G. Apers, Auteur ; Andreas Wombacher, Auteur Année de publication : 2013 Article en page(s) : pp 5113 - 5130 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] flux de travaux
[Termes IGN] inférence
[Termes IGN] moteur d'inférence
[Termes IGN] source de données
[Termes IGN] synergiciel
[Termes IGN] traitement de données localiséesRésumé : (Auteur) Data provenance allows scientists to validate their model as well as to investigate the origin of an unexpected value. Furthermore, it can be used as a replication recipe for output data products. However, capturing provenance requires enormous effort by scientists in terms of time and training. First, they need to design the workflow of the scientific model, i.e., workflow provenance, which requires both time and training. However, in practice, scientists may not document any workflow provenance before the model execution due to the lack of time and training. Second, they need to capture provenance while the model is running, i.e., fine-grained data provenance. Explicit documentation of fine-grained provenance is not feasible because of the massive storage consumption by provenance data in the applications, including those from the geoscience domain where data are continuously arriving and are processed. In this paper, we propose an inference-based framework, which provides both workflow and fine-grained data provenance at a minimal cost in terms of time, training, and disk consumption. Our proposed framework is applicable to any given scientific model, and is capable of handling different model dynamics, such as variation in the processing time as well as input data products arrival pattern. Our evaluation of the framework in a real use case with geospatial data shows that the proposed framework is relevant and suitable for scientists in geoscientific domain. Numéro de notice : A2013-613 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2247769 En ligne : https://doi.org/10.1109/TGRS.2013.2247769 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32749
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5113 - 5130[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013111 RAB Revue Centre de documentation En réserve L003 Disponible Assessing the veracity of methods for extracting place semantics from Flickr tags / William A Mackaness in Transactions in GIS, vol 17 n° 4 (August 2013)
[article]
Titre : Assessing the veracity of methods for extracting place semantics from Flickr tags Type de document : Article/Communication Auteurs : William A Mackaness, Auteur ; Omair Chaudhry, Auteur Année de publication : 2013 Article en page(s) : pp 544 - 562 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données d'images
[Termes IGN] données spatiotemporelles
[Termes IGN] exploration de données
[Termes IGN] grand public
[Termes IGN] image Flickr
[Termes IGN] inférence
[Termes IGN] information sémantique
[Termes IGN] milieu urbain
[Termes IGN] régression logistique
[Termes IGN] segmentation sémantiqueRésumé : (Auteur) The volume and potential value of user generated content (UGC) is ever growing. Multiply sourced, its value is greatly increased by the inclusion of metadata that adequately and accurately describes that content – particularly if such data are to be integrated with more formal data sets. Typically, digital photography is tagged with location and attribute information that variously describe the location, events or objects in the image. Often inconsistent and incomplete, these attributes reflect concepts at a range of geographic scales. From a spatial data integration perspective, the information relating to “place” is of primary interest. The challenge therefore is in selecting the most appropriate tags that best describe the geography of the image. This article presents a methodology based on an information retrieval technique that separates out “place related tags” from the remainder of the tags. Different scales of geography are identified by varying the size of the sampling area within which the imagery falls. This is applied in the context of urban environments, using Flickr imagery. Empirical analysis is then used to assess the correctness of the chosen tags (i.e. whether the tag correctly describes the geographic region in which the image was taken). Logistic regression and Bayesian inference are used to attach a probability value to each place tag. The high correlation values achieved indicate that this methodology can be used to automatically select place tags for any urban region and thus hierarchically structure UGC in order that it can be semantically integrated with other data sources. Numéro de notice : A2013-471 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12043 Date de publication en ligne : 28/05/2013 En ligne : https://doi.org/10.1111/tgis.12043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32609
in Transactions in GIS > vol 17 n° 4 (August 2013) . - pp 544 - 562[article]
Titre : Bayesian and frequentist regression methods Type de document : Monographie Auteurs : Jon Wakefield, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Importance : 697 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-4419-0925-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] estimation bayesienne
[Termes IGN] fonction spline
[Termes IGN] inférence
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] méthode fondée sur le noyau
[Termes IGN] modèle de régression
[Termes IGN] modèle linéaire
[Termes IGN] modèle non linéaire
[Termes IGN] régression
[Termes IGN] théorème de BayesRésumé : (éditeur) Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. While the philosophy behind each approach is discussed, the book is not ideological in nature and an emphasis is placed on practical application. It is shown that, in many situations, careful application of the respective approaches can lead to broadly similar conclusions. To use this text, the reader requires a basic understanding of calculus and linear algebra, and introductory courses in probability and statistical theory. The book is based on the author's experience teaching a graduate sequence in regression methods. The book website contains all of the code to reproduce all of the analyses and figures contained in the book. Note de contenu : 1- Inferential Approches
2- Independant data
3- Dependent data
4- Nonparametric modelingNuméro de notice : 25769 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://doi.org/10.1007/978-1-4419-0925-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94957
contenu dans Proceedings of the 26th International Cartographic Conference, ICC '13 [ICC 2013] / Manfred F. Buchroithner (2013)
Titre : How to measure and visualize emotion when using maps Type de document : Article/Communication Auteurs : Sara Irina Fabrikant, Auteur ; Sidonie Christophe , Auteur ; Georgios Papastefanou, Auteur ; Sara Maggi, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2013 Conférence : ICC 2013, 26th International Cartographic Conference ICA 25/08/2013 30/08/2013 Dresde Allemagne OA proceedings Importance : p 544 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] émotion
[Termes IGN] esthétique cartographique
[Termes IGN] inférence
[Termes IGN] oculométrie
[Termes IGN] outil d'aide à la décision
[Vedettes matières IGN] CartologieRésumé : (auteur) Maps are used in various decision-making contexts, also where the influence of emotional responses to decision-making might be critical, such as under stress (i.e., real-time navigation using a mobile device, search and rescue missions, etc.), or due to varying user motivations (i.e., survival, boredom, leisure, fun, etc.). While cartographers and others have begun to systematically explore how display design, user background, and varying usage contexts might interact with spatiotemporal inference making, almost no research exists that investigates the role of human emotion in map-based decision making (Griffin and McQuoid, in press). In this paper, we propose a methodological extension to a previously suggested framework, aimed at quantitatively capturing the effect of emotion in human-map interactions (Fabrikant et al. 2012). Specifically, we propose to visualize human emotion captured in empirical map studies, for further systematic evaluation. Our promising preliminary results suggest that first, human emotions can be systematically captured using a skin conductance sensor coupled with the eye movement data collection method, and second, quantitative emotion data can be meaningfully analyzed to investigate aesthetic effects of display design decisions, specifically when coupled with other evaluation methods (i.e., questionnaires, etc.). We additionally demonstrate that human emotion measurements can be visualized, using standard cartographic depiction methods. With this contribution we hope to provide cartographers with a sound method to capture emotional and affective aspects of human-display interactions, specifically when empirically evaluating the aesthetic qualities of visual displays used for spatiotemporal inference making. Numéro de notice : C2013-032 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80159 Documents numériques
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How to measure and visualize emotionAdobe Acrobat PDF Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes / Sara Irina Fabrikant in Cartographic journal (the), vol 45 n° 3 (August 2008)
[article]
Titre : Novel method to measure inference affordance in static small-multiple map displays representing dynamic processes Type de document : Article/Communication Auteurs : Sara Irina Fabrikant, Auteur ; S. Rebich-Hespanha, Auteur ; Natalia Andrienko, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 201 - 215 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] cognition
[Termes IGN] inférence
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) Supported by eye-movement data collected during a controlled experiment on small-multiple map displays, a new concept coined inference affordance aimed at overcoming drawbacks of traditional empirical 'success' measures when evaluating static visual analytics displays and interactive visual analytics tools is proposed. Then, a novel visual analytics research methodology is outlined to quantify inference affordance, taking advantage of the well-known sequence alignment analyses techniques borrowed from bioinformatics. The presented visual analytics approach focuses on information reduction of large amounts of fine-grained eye-movement sequence data, including sequence categorisation and summarisation. Copyright British Cartographic Society Numéro de notice : A2008-276 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870408X311396 En ligne : https://doi.org/10.1179/000870408X311396 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29269
in Cartographic journal (the) > vol 45 n° 3 (August 2008) . - pp 201 - 215[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-08031 RAB Revue Centre de documentation En réserve L003 Disponible Framework for probabilistic geospatial ontologies / S. Sen in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)PermalinkOperation analysis of a reservoir in GIS environment using remote sensing inputs / M.K. Goel in International Journal of Remote Sensing IJRS, vol 28 n° 1-2 (January 2007)PermalinkTowards an understanding of geovisualization with dynamic displays: issues and prospects / Sara Irina Fabrikant (2005)PermalinkRegistration of multi-source, multi-resolution, and multi-temporal satellite imagery: issues and applications / A. Habib in Geoinformatics, vol 7 n° 8 (01/12/2004)PermalinkStatistische Untersuchung ganzzahliger und reellwertiger unbekannter Parameter im GPS-Modell / B. Gundlich (2002)PermalinkRecherches dans le domaine de l'intelligence artificielle et systèmes experts en géographie / V.S. Tikunov in Annales de géographie, n° 552 (mars - avril 1990)PermalinkProblématiques et méthodes en raisonnement approché / Henri Prade (16/11/1987)Permalink