Descripteur
Documents disponibles dans cette catégorie (167)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Effectiveness of cartogram for the representation of spatial data / Hui Sun in Cartographic journal (the), vol 47 n° 1 (January 2010)
[article]
Titre : Effectiveness of cartogram for the representation of spatial data Type de document : Article/Communication Auteurs : Hui Sun, Auteur ; Zhilin Li, Auteur Année de publication : 2010 Article en page(s) : pp 12 - 21 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse comparative
[Termes IGN] carte synthétique
[Termes IGN] carte thématique
[Termes IGN] cartogramme
[Termes IGN] cartographie statistique
[Termes IGN] données localisées
[Termes IGN] qualité des données
[Termes IGN] représentation
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Cartogram is a technique for visualisation of the geographical distribution of spatial data. It has two main types, i.e. distance cartogram and area cartogram. Area cartogram is a transformed map in which areas are resized in proportion to an attribute value. A number of techniques have been developed for the generation of area cartograms. Some researchers consider cartogram as a very effective technique for visualisation of spatial data, while others doubt about the effectiveness because of the possible distortion in shape and/or disconnectivity in topology. This study aims to evaluate the effectiveness of area cartogram for visualizing spatial data. In this study, two comparative experiments have been conducted. One is the comparison between thematic maps and cartograms, and the other is the comparison among different types of area cartogram. Two sets of data with different characteristics are used, i.e. 2005 China population data and 1996 US election data. Results show that cartogram is more effective in the representation of the 1996 US election data which provides a qualitative result (i.e. in binary form or nominal data), but thematic map is far more effective in the representation of 2005 China population data which provides a quantitative result (in classes or ordinal data). It is also found that among different types of area cartogram, pseudo-cartogram is the most preferred technique and Darling cartogram is the least preferred one. Copyright Cartographic Journal Numéro de notice : A2010-079 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870409X12525737905169 Date de publication en ligne : 07/03/2014 En ligne : https://doi.org/10.1179/000870409X12525737905169 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30275
in Cartographic journal (the) > vol 47 n° 1 (January 2010) . - pp 12 - 21[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2010011 RAB Revue Centre de documentation En réserve L003 Disponible A general framework for using aggregation in visual exploration of movement data / Gennady Adrienko in Cartographic journal (the), vol 47 n° 1 (January 2010)
[article]
Titre : A general framework for using aggregation in visual exploration of movement data Type de document : Article/Communication Auteurs : Gennady Adrienko, Auteur ; Natalia Adrienko, Auteur Année de publication : 2010 Article en page(s) : pp 22 - 40 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] agrégation spatiale
[Termes IGN] base de données d'objets mobiles
[Termes IGN] carte interactive
[Termes IGN] classification
[Termes IGN] données spatiotemporelles
[Termes IGN] exploration de données géographiques
[Termes IGN] objet mobile
[Termes IGN] visualisation de donnéesRésumé : (Auteur) To be able to explore visually large amounts of movement data, it is necessary to apply methods for aggregation and summarisation of the data. The goal of our research has been to systemize the possible approaches to aggregation of movement data into a framework clearly defining what kinds of exploratory tasks each approach is suitable for. On the basis of a formal model of movement of multiple entities, we consider two possible views of movement data, situation-oriented and trajectory-oriented. For each view, we discuss the appropriate methods of data aggregation and the visualisation techniques representing the results of aggregation and supporting data exploration. Special attention is given to dynamic aggregation working in combination with interactive filtering and classification of movement data (CR categories and subject descriptors: H.I.2 [user/machine systems]: human information processing - visual analytics; 1.6.9 [visualisation]: information visualisation). Numéro de notice : A2010-080 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870409X12525737905042 Date de publication en ligne : 18/07/2013 En ligne : https://doi.org/10.1179/000870409X12525737905042 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30276
in Cartographic journal (the) > vol 47 n° 1 (January 2010) . - pp 22 - 40[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 030-2010011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Geospatial Thinking Type de document : Actes de congrès Auteurs : Marco Painho, Éditeur scientifique ; Maribel Yasmina Santos, Éditeur scientifique ; Hardy Pundt, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : AGILE 2010, 13th International Conference on Geographic Information Science, Geospatial thinking 11/05/2010 14/05/2010 Guimaraes Portugal OA Proceedings Importance : 418 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-3-642-12325-2 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse spatio-temporelle
[Termes IGN] cartographie collaborative
[Termes IGN] découverte de connaissances
[Termes IGN] information sémantique
[Termes IGN] raisonnement spatiotemporel
[Termes IGN] représentation cartographique
[Termes IGN] service web
[Termes IGN] temps réel
[Termes IGN] visualisation de donnéesRésumé : (éditeur) For the fourth consecutive year, the Association of Geographic Information Laboratories for Europe (AGILE) promoted the edition of a book with the collection of the scientific papers that were submitted as full-papers to the AGILE annual international conference. Those papers went through a th competitive review process. The 13 AGILE conference call for full papers of original and unpublished fundamental scientific research resulted in 54 submissions, of which 21 were accepted for publication in this volume (acceptance rate of 39%). Published in the Springer Lecture Notes in Geoinformation and Carthography, this book is associated to the 13 AGILE Conference on Geographic Information Science, held in 2010 in Guimarães, Portugal, under the title “Geospatial Thinking”. The efficient use of geospatial information and related technologies assumes the knowledge of concepts that are fundamental components of Geospatial Thinking, which is built on reasoning processes, spatial conc- tualizations, and representation methods. Geospatial Thinking is associated with a set of cognitive skills consisting of several forms of knowledge and cognitive operators used to transform, combine or, in any other way, act on that same knowledge. The scientific papers published in this volume cover an important set of topics within Geoinformation Science. Note de contenu : Representation and Visualisation of Geographic Phenomena
Spatiotemporal Data Analysis
Geo-Collaboration, Participation, and Decision Support
Semantics of Geoinformation and Knowledge Discovery
Spatiotemporal Modelling and Reasoning
Web Services, Geospatial Systems and Real-time Applications.Numéro de notice : 17090 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-642-12326-9 En ligne : https://doi.org/10.1007/978-3-642-12326-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79472 Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 17090-01 CG2010 Livre Centre de documentation Congrès Disponible 17090-02 CG2010 Livre Centre de documentation Congrès Disponible An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models / Muneendra Kumar in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)
[article]
Titre : An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models Type de document : Article/Communication Auteurs : Muneendra Kumar, Auteur ; G. Bahtt, Auteur ; C. Duffy, Auteur Année de publication : 2009 Article en page(s) : pp 1569 - 1596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] décomposition spatiale
[Termes IGN] hydrogéologie
[Termes IGN] hydrographie de surface
[Termes IGN] modèle hydrographique
[Termes IGN] objet géographique
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Physically-based, fully-distributed hydrologic models simulate hydrologic state variables in space and time while using information regarding heterogeneity in climate, land use, topography and hydrogeology. Since fine spatio-temporal resolution and increased process dimension will have large data requirements, there is a practical need to strike a balance between descriptive detail and computational load for a particular model application. In this paper, we present a flexible domain decomposition strategy for efficient and accurate integration of the physiographic, climatic and hydrographic watershed features. The approach takes advantage of different GIS feature types while generating high-quality unstructured grids with user-specified geometrical and physical constraints. The framework is able to anchor the efficient capture of spatially distributed and temporally varying hydrologic interactions and also ingest the physical prototypes effectively and accurately from a geodatabase. The proposed decomposition framework is a critical step in implementing high quality, multiscale, multiresolution, temporally adaptive and nested grids with least computational burden. We also discuss the algorithms for generating the framework using existing GIS feature objects. The framework is successfully being used in a finite volume based integrated hydrologic model. The framework is generic and can be used in other finite element/volume based hydrologic models. Copyright Taylor & Francis Numéro de notice : A2009-521 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802344143 En ligne : https://doi.org/10.1080/13658810802344143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30150
in International journal of geographical information science IJGIS > vol 23 n°11-12 (november 2009) . - pp 1569 - 1596[article]Réservation
Réserver ce documentExemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-09071 RAB Revue Centre de documentation En réserve L003 Disponible 079-09072 RAB Revue Centre de documentation En réserve L003 Disponible Density equalizing distortion of large geographic point sets / P. Bak in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
[article]
Titre : Density equalizing distortion of large geographic point sets Type de document : Article/Communication Auteurs : P. Bak, Auteur ; M. Schaefer, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 237 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse de données
[Termes IGN] cartogramme
[Termes IGN] cartographie statistique
[Termes IGN] densité des points
[Termes IGN] traitement de données localisées
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Visualizing large geo-demographical datasets using pixel-based techniques involves mapping the geospatial dimensions of a data point to screen coordinates and appropriately encoding its statistical value by color. The analysis of such data presents a great challenge. General tasks involve clustering, categorization, and searching for patterns of interest for sociological or economic research. Available visual encodings and screen space limitations lead to over-plotting and hiding of patterns and clusters in densely populated areas, while sparsely populated areas waste space and draw the attention away from the areas of interest. In this paper, two new approaches (RadialScale and AngularScale) are introduced to create density-equalized maps, while preserving recognizable features and neighborhoods in the visualization. These approaches build the core of a multi-scaling technique based on local features of the data described as local minima and maxima of point density. Scaling is conducted several times around these features, which leads to more homogeneous distortions. Results are illustrated using several real-world datasets. Our evaluation shows that the proposed techniques outperform traditional techniques as regard the homogeneity of the resulting data distributions and therefore build a more appropriate basis for analytic purposes. Copyright CaGISociet Numéro de notice : A2009-268 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988288 En ligne : https://doi.org/10.1559/152304009788988288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29898
in Cartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 237 - 250[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-09031 RAB Revue Centre de documentation En réserve L003 Disponible Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube / I. Santiago in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)PermalinkGeoJabber: enabling geo-collaborative visual analysis / F. Hardisty in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)PermalinkA less-is-more approach to geovisualization: enhancing knowledge construction across multidisciplinary teams / C. Jones in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)PermalinkA kernel density estimation method for networks, its computational method and a GIS-based tool / Atsuyuki Okabe in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)PermalinkPermalinkProceedings of the GIS Research UK, 17th annual conference, Durham University, 1st - 3rd April 2009 / David Fairbairn (2009)PermalinkReal-time visualization in operational hydrology through web-based cartography / C. Lienert in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)PermalinkTravaux préparatoires à la mise en place d'une chaine de traitement d'images basse altitude / F. Mainfroy (2009)PermalinkPrediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints / J. Li in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)PermalinkInterface Web cartographique de visualisation des données pédologiques / H. Le Martret in Le monde des cartes, n° 197 (septembre 2008)PermalinkEvaluating the effectiveness of representing numeric information through abstract graphics in 3D desktop virtual environments / S. Bleisch in Cartographic journal (the), vol 45 n° 3 (August 2008)PermalinkStandards in practice, part 8 : KML, Keyhole Markup Language / Huibert-Jan Lekkerkerk in Geoinformatics, vol 11 n° 5 (01/07/2008)PermalinkITT : image, technologie et télédétection / Anonyme in Géomatique expert, n° 63 (01/06/2008)PermalinkThe effect of instructions on distance and similarity judgements in information spatializations / Sara Irina Fabrikant in International journal of geographical information science IJGIS, vol 22 n° 4-5 (april 2008)PermalinkBienvenue chez les Chtis de la PPIGE / Françoise de Blomac in SIG la lettre, n° 95 (mars 2008)PermalinkCartographie thématique, 5. Des voies nouvelles à explorer / Colette Cauvin (2008)PermalinkDesigning and implementing software components for an automated mapping system / J.H. Yom in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)PermalinkPermalinkUnderstanding spatiotemporel patterns: visual ordening of space and time / Menno-Jan Kraak in Cartographica, vol 42 n° 2 (June 2007)PermalinkModelling landscape dynamics with Python / D. Karssenberg in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)Permalink