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Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example / Edzer J. Pebesma in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
[article]
Titre : Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example Type de document : Article/Communication Auteurs : Edzer J. Pebesma, Auteur ; K. de Jong, Auteur ; D.J. Briggs, Auteur Année de publication : 2007 Article en page(s) : pp 515 - 527 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] analyse comparative
[Termes IGN] données spatiotemporelles
[Termes IGN] incertitude des données
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] qualité de l'air
[Termes IGN] Union Européenne
[Termes IGN] visualisation dynamiqueRésumé : (Auteur) This paper introduces a method for visually exploring spatio-temporal data or predictions that come as probability density functions, e.g. output of statistical models or Monte Carlo simulations, under different scenarios. For a given moment in time, we can explore the probability dimension by looking at maps with cumulative or exceedance probability while varying the attribute level that is exceeded, or by looking at maps with quantiles while varying the probability value. Scenario comparison is done by arranging the maps in a lattice with each panel reacting identically to legend modification, zooming, panning, or map querying. The method is illustrated by comparing different modelling scenarios for yearly NO2 levels in 2001 across the European Union. Copyright Taylor & Francis Numéro de notice : A2007-134 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601064009 En ligne : https://doi.org/10.1080/13658810601064009 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28497
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 515 - 527[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible A probabilistic framework for representing and simulating uncertain environmental variables / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
[article]
Titre : A probabilistic framework for representing and simulating uncertain environmental variables Type de document : Article/Communication Auteurs : Gerard B.M. Heuvelink, Auteur ; J. Brown, Auteur ; E. Emiel Van Loon, Auteur Année de publication : 2007 Article en page(s) : pp 497 - 513 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] distribution, loi de
[Termes IGN] incertitude d'attribut
[Termes IGN] incertitude de position
[Termes IGN] incertitude des données
[Termes IGN] modèle stochastique
[Termes IGN] simulationRésumé : (Auteur) Understanding the limitations of environmental data is important for managing environmental systems effectively and for encouraging the responsible use of uncertain data. Explicit assessment of the uncertainties associated with environmental data, and their storage in a database, are therefore important. This paper presents a statistical framework for representing and simulating uncertain environmental variables. In general terms, an uncertain variable is completely specified by its probability distribution function (pdf). Pdfs are developed for objects with uncertain locations ('positional uncertainty') and uncertain attribute values ('attribute uncertainty'). Objects comprising multiple space-time locations are separated into 'rigid objects', where positional uncertainty cannot alter the internal geometry of the object, and 'deformable' objects, where positional uncertainty can vary between locations in one object. Statistical dependence is allowed between uncertainties in multiple locations in one object. The uncertainties associated with attribute values are also modelled with pdfs. The type and complexity of these pdfs depend upon the measurement scale and the space-time variability of the uncertain attribute. The framework is illustrated with examples. A prototype software tool for assessing uncertainties in environmental data, storing them within a database, and for generating realizations for use in Monte Carlo studies is also presented. Copyright Taylor & Francis Numéro de notice : A2007-133 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810601063951 En ligne : https://doi.org/10.1080/13658810601063951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28496
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 497 - 513[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible 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)
[article]
Titre : Assessing the effect of attribute uncertainty on the robustness of choropleth map classification Type de document : Article/Communication Auteurs : N. Xiao, Auteur ; C.A. Calder, Auteur ; Marc P. Armstrong, Auteur Année de publication : 2007 Article en page(s) : pp 121 - 144 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] attribut
[Termes IGN] carte choroplèthe
[Termes IGN] classification dirigée
[Termes IGN] incertitude des données
[Termes IGN] précision de la classification
[Termes IGN] visualisationRésumé : (Auteur) Choropleth maps are often used to visualize the spatial distribution of information collected for enumeration units. Such maps, however, are normally produced without considering the effect of uncertainty associated with data, which can contribute to incorrect interpretation. The purpose of this paper is to develop a method that can be used to evaluate the classification robustness of choropleth maps when the attribute uncertainty associated with the data is known or can be estimated. We first develop a measure to indicate the robustness of classification schemes. We then design a set of experiments to examine the robustness of different choropleth map classifications under various levels and types of uncertainty. Our experiments suggest that the robustness of a choropleth classification scheme is a function of uncertainty and the number of classes used. Increases in data uncertainty will decrease map robustness. However, it is possible to increase map robustness by choosing a smaller number of classes. We also discuss a visualization approach that can be used to display the classification robustness of each enumeration unit within a choropleth map. Numéro de notice : A2007-029 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600894307 En ligne : https://doi.org/10.1080/13658810600894307 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78189
in International journal of geographical information science IJGIS > vol 21 n° 1-2 (january 2007) . - pp 121 - 144[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07011 RAB Revue Centre de documentation En réserve L003 Disponible 079-07012 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : A multi-criteria fusion approach for geographical data matching Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2007 Conférence : ISSDQ 2007, 5th International Symposium on Spatial Data Quality, Modelling qualities in space and time 13/06/2007 15/06/2007 Enschede Pays-Bas OA Proceedings Importance : 8 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] appariement de données localisées
[Termes IGN] fusion de données
[Termes IGN] incertitude des données
[Termes IGN] théorie de Dempster-Shafer
[Termes IGN] traitement de données localiséesRésumé : (auteur) Currently, there is a multiplicity of geographical information to describe the same reality. Nevertheless, we realise that there is independence between databases that represent the same reality and this affects both data users and producers. Integration seems to be the issue to that problem. One of the steps of the integration process is the data matching process that furthermore represents our issue. The purpose of this paper is to define a data matching approach based on the Theory of Evidence. The goal is to model explicitly the imperfection and to fusion many criteria of data matching in order to improve the quality of the results. Our approach is carried out in threes steps, consisting in computing the basic belief masses and fusioning criteria and assumptions. The basic belief assignments for each source are modelled in order to allow to weight a possible matching and to weaken it, in the contrary case. Fusion process based on combination of distinct sources may generate conflict. In this paper, different operators are tested in order to manage conflict and we show that the choice of an appropriate operator is crucial. Numéro de notice : C2007-062 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/2-C43/Session4/paper_olteanu.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102692 Can error explain map differences over time? / Robert Gilmore Pontius in Cartography and Geographic Information Science, vol 33 n° 2 (April 2006)
[article]
Titre : Can error explain map differences over time? Type de document : Article/Communication Auteurs : Robert Gilmore Pontius, Auteur ; C.D. Lippitt, Auteur Année de publication : 2006 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse diachronique
[Termes IGN] carte d'occupation du sol
[Termes IGN] incertitude des données
[Termes IGN] Massachusetts (Etats-Unis)
[Termes IGN] matrice de confusionRésumé : (Auteur) This paper presents methods to test whether map error can explain the observed differences between two points in time among categories of land cover in maps. Such differences may be due to two reasons: error in the maps and change on the ground. Our methods use matrix algebra: (1) to determine whether error can explain specific types of observed categorical transitions between two maps, (2) to represent visually the differences between the maps that error cannot explain, and (3) to examine how the results are sensitive to possible variation in map error. The methods complement conventional accuracy assessment because they rely on standard confusion matrices that use either a random or a stratified sampling design. We illustrate the methods with maps from 1971 and 1999, which show seven land-cover categories for central Massachusetts. The methods detect four transitions from agriculture, range, forest, and barren in 1971 to built in 1999, which a 15 percent error cannot explain. Sensitivity analysis reveals that if the accuracy of the maps were less than 77 percent, then error could explain virtually all of the observed differences between the maps. The paper discusses the assumptions behind the methods and articulates priorities for future research. Copyright CaGISociety. Numéro de notice : A2006-288 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304006777681706 En ligne : https://doi.org/10.1559/152304006777681706 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28015
in Cartography and Geographic Information Science > vol 33 n° 2 (April 2006)[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-06021 RAB Revue Centre de documentation En réserve L003 Disponible L'apport de données spatiales pour une base de données ethniographiques / Ana-Maria Olteanu-Raimond (2006)PermalinkPermalinkPermalinkProgress in Spatial Data Handling : 12th International Symposium on Spatial Data Handling / Andreas Riedl (2006)PermalinkOn possible measures for evaluating the degree of uncertainty of fuzzy thematic maps / C. Ricotta in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkIntegrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations / C. Bone in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)PermalinkExploring the hidden potential of common spatial data models to visualize uncertainty / J. Kardos in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkRéflexions sur les incertitudes et leurs propagations en analyse spatiale / R. Caloz in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)PermalinkVisualisation of qualitative locations in geographic information systems / X. Yao in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkDigital terrain model computation from contour lines: how to derive quality information from artifact analysis / Olivier Bonin in Geoinformatica, vol 9 n° 3 (September - November 2005)PermalinkGestion des sites et sols pollués : risques pour les eaux souterraines / D. 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Chou in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)PermalinkVisualizing geospatial information uncertainty: what we know and what we need to know / Alan M. MacEachren in Cartography and Geographic Information Science, vol 32 n° 3 (July 2005)PermalinkTerrestrial Reference Frames effects on global sea level rise determination from Topex-Poseidon altimetric data / Laurent Morel in Advances in space research, vol 36 n° 3 (March 2005)PermalinkPath dependence and the validation of agent-based spatial models of land use / Daniel G. Brown in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkAlternative representations of in-stream habitat: classification using remote sensing, hydraulic modelling, and fuzzy logic / C. Legleiter in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)PermalinkGeographic Information Systems and science / Paul A. 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Wentz in International journal of geographical information science IJGIS, vol 17 n° 7 (october 2003)PermalinkAssessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas / T. Rashed in International journal of geographical information science IJGIS, vol 17 n° 6 (september 2003)PermalinkRough and fuzzy geographical data integration / K. Oukbir in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)PermalinkÉtude des incertitudes lors de calculs de risques d'inondations / Julien Ah Pine (2003)PermalinkGISRUK 2003, Proceedings of the GIS Research UK, 11th Annual Conference, 9th-11th April 2003, City University, London / Jo Wood (2003)PermalinkProceedings of the 2nd international symposium on spatial data quality '03, SDQ 2003, 19 - 20 March 2003, The Hong Kong Polytechnic University, Hong Kong / Wenzhong Shi (2003)PermalinkReliability considerations in geospatial information systems / J.A.R. Blais in Geomatica, vol 56 n° 4 (December 2002)PermalinkTowards the developments intelligent GIS: an approach to linguistic knowledge discovery / D. Zheng in GIM international, vol 16 n° 8 (August 2002)PermalinkResponding to the consequences of uncertainty in geographical data / A. Agumya in International journal of geographical information science IJGIS, vol 16 n° 5 (july 2002)PermalinkOptimized resource allocation for GIS-based model implementation / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkAdvances in Spatial Data Handling : 10th International Symposium on Spatial Data Handling / Dianne Richardson (2002)PermalinkAnalyse statistique des données expérimentales / K. Protassov (2002)Permalink