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[article]
Titre : Scaling the interactive dot map Type de document : Article/Communication Auteurs : Kyle E. Walker, Auteur Année de publication : 2018 Article en page(s) : pp 171 - 184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de répartition par points
[Termes IGN] carte interactive
[Termes IGN] conception cartographique
[Termes IGN] données démographiques
[Termes IGN] interface utilisateur
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Dot maps are effective for cartographic visualization of categorical data. Recent advances in Web mapping technology have facilitated the development of interactive dot maps, in which users can pan and zoom to view data distributions for different areas. This interactivity, however, introduces multiple cartographic challenges, as design decisions that are appropriate at large scales can lead to clutter and illegibility at small scales. This article considers these challenges in the context of an applied example – an interactive dot map of educational attainment in the United States. It covers the methodology of the map’s creation as well as how it addresses the cartographic challenges of interactive dot mapping. Numéro de notice : A2018-481 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.3.2017-0021 Date de publication en ligne : 01/10/2018 En ligne : https://doi.org/10.3138/cart.53.3.2017-0021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91204
in Cartographica > vol 53 n° 3 (Fall 2018) . - pp 171 - 184[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2018031 SL Revue Centre de documentation Revues en salle Disponible The potential of Web-GIS and geovisual analytics in the context of marine cadastre / Agnieszka Dawidowicz in Survey review, vol 50 n° 363 (September 2018)
[article]
Titre : The potential of Web-GIS and geovisual analytics in the context of marine cadastre Type de document : Article/Communication Auteurs : Agnieszka Dawidowicz, Auteur ; Marcin Kulawiak, Auteur Année de publication : 2018 Article en page(s) : pp 501 - 512 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cadastre maritime
[Termes IGN] Pologne
[Termes IGN] système d'information géographique
[Termes IGN] WebSIG
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) The importance of the marine environment to human existence makes it imperative that information models represent the multidimensional nature of reality as closely as possible in order to facilitate good governance. Information regarding jurisdiction, as well as the effects of formal law and community interests on the marine environment should be stored in a marine cadastre. The aim of the presented research is to present a concept marine cadastre structure for the EU Member State of Poland as well as show the potential of the application of open standards and Geovisual Analytics for the purpose of marine cadastre data integration, dissemination and analysis with the use of a Geographic Information System (GIS). The paper also presents a sample implementation of the proposed concept in the form of a Web-GIS for analysis and visualisation of risk assessment results in the context of a marine cadastre for the country of Poland. Numéro de notice : A2018-450 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2017.1328331 Date de publication en ligne : 19/05/2017 En ligne : https://doi.org/10.1080/00396265.2017.1328331 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91036
in Survey review > vol 50 n° 363 (September 2018) . - pp 501 - 512[article]Method for the analysis and visualization of similar flow hotspot patterns between different regional groups / Haiping Zhang in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)
[article]
Titre : Method for the analysis and visualization of similar flow hotspot patterns between different regional groups Type de document : Article/Communication Auteurs : Haiping Zhang, Auteur ; Xingxing Zhou, Auteur ; Xin Gu, Auteur ; Lei Zhou, Auteur ; Genlin Ji, Auteur ; Guoan Tang, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] données de flux
[Termes IGN] interaction spatiale
[Termes IGN] système d'information géographique
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Interaction among different regions can be illustrated in the form of a stream. For example, the interaction between the flows of people and information among different regions can reflect city network structures, as well as city functions and interconnections. The popularization of big data has facilitated the acquisition of flow data for various types of individuals. The application of the regional interaction model, which is based on the summary level of individual flow data mining, is currently a hot research topic. Thus far, however, previous research on spatial interaction methods has mainly focused on point-to-point and area-to-area interaction patterns, and investigations on the patterns of interaction hotspots between two regional groups with predefined neighborhood relationships, that being with two regions, remain scarce. In this study, a method for the identification of similar interaction hotspot patterns between two regional groups is proposed, and geo-information Tupu methods are applied to visualize interaction patterns. China’s air traffic flow data are used as an example to illustrate the performance of the proposed method to identify and analyze interaction hotspot patterns between regional groups with adjoining relationships across China. Research results indicate that the proposed method efficiently identifies the patterns of interaction flow hotspots between regional groups. Moreover, it can be applied to analyze any flow space in the excavation of the patterns of regional group interaction hotspots. Numéro de notice : A2018-350 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7080328 Date de publication en ligne : 15/08/2018 En ligne : https://doi.org/10.10.3390/ijgi7080328 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90585
in ISPRS International journal of geo-information > vol 7 n° 8 (August 2018)[article]SensePlace3: a geovisual framework to analyze place–time–attribute information in social media / Scott Pezanowski in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)
[article]
Titre : SensePlace3: a geovisual framework to analyze place–time–attribute information in social media Type de document : Article/Communication Auteurs : Scott Pezanowski, Auteur ; Alan M. MacEachren, Auteur ; Alexander Savelyev, Auteur ; Anthony C. Robinson, Auteur Année de publication : 2018 Article en page(s) : pp 420 - 437 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] analyse spatio-temporelle
[Termes IGN] données massives
[Termes IGN] environnement de développement
[Termes IGN] gestion de crise
[Termes IGN] réseau social
[Termes IGN] trace numérique
[Termes IGN] Twitter
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources. Numéro de notice : A2018-272 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2017.1370391 Date de publication en ligne : 11/09/2017 En ligne : https://doi.org/10.1080/15230406.2017.1370391 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90336
in Cartography and Geographic Information Science > Vol 45 n° 5 (August 2018) . - pp 420 - 437[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2018051 RAB Revue Centre de documentation En réserve L003 Disponible Task-oriented visualization approaches for landscape and urban change analysis / Jochen Schiewe in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)
[article]
Titre : Task-oriented visualization approaches for landscape and urban change analysis Type de document : Article/Communication Auteurs : Jochen Schiewe, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] carte choroplèthe
[Termes IGN] classification
[Termes IGN] visualisation cartographique
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Approaches to landscape and urban change analysis are still far away from being fully automatic or operational. For this reason, the concept of Geovisual Analytics is proposed, combining computational and visual/manual processing steps. This contribution concentrates on the latter part with the overall goal of improving its usability. For this purpose, a classification of tasks is created, which often occur in the context of change analysis. This serves as the basis for the assignment of suitable map types to change processing results. Beyond this, it is pointed out that in many cases an appropriate pre-processing of data is imperative to preserve or enhance certain spatial relationships or characteristics for visualization. This is demonstrated using the example of data classification prior to choropleth mapping. Methods are described which allow the preservation of local extreme values, large value differences between adjacent polygons, clusters, and hot/cold spots. Finally, discussing future research and developments, it will be stressed that the importance of visual methods in the context of big data change analysis will continue to increase, which is due to the particular ability of maps to generalize and reduce complex data to a minimum. Numéro de notice : A2018-352 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7080288 Date de publication en ligne : 24/07/2018 En ligne : https://doi.org/10.3390/ijgi7080288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90586
in ISPRS International journal of geo-information > vol 7 n° 8 (August 2018)[article]Association rules-based multivariate analysis and visualization of spatiotemporal climate data / Feng Wang in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkDesign and implementation of a 4D Web application for analytical visualization of smart city applications / Syed Monjur Murshed in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkFrom hierarchy to networking: the evolution of the “twenty-first-century Maritime Silk Road” container shipping system / Liehui Wang in Transport reviews, vol 38 n° 4 ([01/07/2018])PermalinkMining and visual exploration of closed contiguous sequential patterns in trajectories / Can Yang in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkUsing interactions and dynamics for mining groups of moving objects from trajectory data / Corrado Loglisci in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkFeasibility of the space-time cube in temporal cultural landscape visualization / Edyta P. Bogucka in ISPRS International journal of geo-information, vol 7 n° 6 (June 2018)PermalinkAttribute trajectory analysis : a framework to analyse attribute changes using trajectory analysis techniques / Long Zhang in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)PermalinkA formalized 3D geovisualization illustrated to selectivity purpose of virtual 3D city model / Romain Neuville in ISPRS International journal of geo-information, vol 7 n° 5 (May 2018)PermalinkA geovisual analytics exploration of the OpenStreetMap crowd / Sterling Quinn in Cartography and Geographic Information Science, Vol 45 n° 2 (March 2018)PermalinkPermalinkCartographic redundancy in reducing change blindness in detecting extreme values in spatio-temporal maps / Paweł Cybulski in ISPRS International journal of geo-information, vol 7 n° 1 (January 2018)PermalinkPermalinkPermalinkPermalinkMultilevel visualization of travelogue trajectory data / Yongsai Ma in ISPRS International journal of geo-information, vol 7 n° 1 (January 2018)PermalinkProjet ANR MapMuxing : navigation fluide dans des représentations cartographiques hétérogènes / Guillaume Touya (2018)PermalinkRegard pluridisciplinaire sur les usages sociaux de géovisualisations 3D pour la sensibilisation au risque d’inondation : Un exemple rhodanien / Julia Bonaccorsi in Revue internationale de géomatique, vol 28 n° 1 (janvier - mars 2018)PermalinkSimulation 3D de la constructibilité et utilisations pour l’aménagement [diaporama] / Mickaël Brasebin (2018)PermalinkTraitement et analyse des contraintes urbaines pour une optimisation morphologique : Etude comparative des modèles MorVer et SimPLU3D / Alia Belkaid (2018)PermalinkUnderground visualization: Web-app, virtual reality, ex situ and in situ augmented reality / Alexandre Devaux (2018)PermalinkVers plus d'expressivité dans les représentations graphiques du territoire / Sidonie Christophe (2018)PermalinkAn analysis of movement patterns between zones using taxi GPS data / Zhanlong Chen in Transactions in GIS, vol 21 n° 6 (December 2017)PermalinkAn efficient data organization and scheduling strategy for accelerating large vector data rendering / Mingqiang Guo in Transactions in GIS, vol 21 n° 6 (December 2017)PermalinkQuality control and new data-quality measures for the aesthetics of a Croatian topographic map at the scale of 1:25,000 / Branko Puceković in International journal of cartography, vol 3 n° 2 (December 2017)PermalinkA simulation and visualization environment for spatiotemporal disaster risk assessments of network infrastructures / Magnus Heittzler in Cartographica, vol 52 n° 4 (Winter 2017)PermalinkWhat is so “hot” in heatmap? qualitative code cluster analysis with foursquare venue / Ilyoung Hong in Cartographica, vol 52 n° 4 (Winter 2017)PermalinkA cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data / Qunying Huang in Computers, Environment and Urban Systems, vol 66 (November 2017)PermalinkA design pattern approach to cartography with big geospatial data / Serena Coetzee in Cartographic journal (the), Vol 54 n° 4 (November 2017)PermalinkGeolokit: An interactive tool for visualising and exploring geoscientific data in Google Earth / Antoine Triantafyllou in International journal of applied Earth observation and geoinformation, vol 62 (October 2017)PermalinkGéovisualisation de récits d’inondations et des effets dominos : De la méthode de géovisualisation à son évaluation dans un contexte expert / Cécile Saint-Marc in Revue internationale de géomatique, vol 27 n° 4 (octobre - décembre 2017)PermalinkKinetic depth images: flexible generation of depth perception / Sujal Bista in The Visual Computer, vol 33 n° 10 (October 2017)PermalinkThe confirmed realities and myths about the benefits and costs of 3D Visualization and virtual reality in discrete event modeling and simulation: A descriptive meta-analysis of evidence from research and practice / Ikpe Justice Akpan in Computers & Industrial Engineering, vol 112 (October 2017)PermalinkVisibility widgets for unveiling occluded data in 3D terrain visualization / Martin Röhlig in Journal of Visual Languages and Computing, vol 42 (October 2017)PermalinkBinSq : visualizing geographic dot density patterns with gridded maps / Alvin Chua in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)PermalinkDeveloping a wind turbine planning platform: Integration of “sound propagation model–GIS-game engine” triplet / Azarakhsh Rafiee in Environmental Modelling & Software, vol 95 (September 2017)PermalinkEnseignements du test utilisateur d'une géovisualisation dynamique : des améliorations possibles pour les expériences en cartographie / Cécile Saint-Marc in Cartes & Géomatique, n° 233 (septembre - novembre 2017)PermalinkLa géovisualisation, outil d'analyse pour le renseignement géospatial / Vincent Caillard in Cartes & Géomatique, n° 233 (septembre - novembre 2017)PermalinkInsight provenance for spatiotemporal visual analytics : Theory, review, and guidelines / Andreas Hall in Journal of Spatial Information Science (JoSIS), n° 15 (September 2017)PermalinkOptimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems / Mingwei Liu in International journal of geographical information science IJGIS, vol 31 n° 9-10 (September - October 2017)PermalinkVisual analytics of time-varying multivariate ionospheric scintillation data / Aurea Soriano-Vargas in Computers and graphics, vol 68 (November 2017)PermalinkAnimated chorem-based summaries of geographic data streams from sensors in real time / Zina Bouattou in Journal of Visual Languages and Computing, vol 41 (August 2017)PermalinkSpatial History, deep mapping and digital storytelling: archaeology's future imagined through an engagement with the Digital Humanities / Tiffany Earley-Spadoni in Journal of archaeological science, vol 84 (August 2017)PermalinkA viewpoint based approach to the visual exploration of trajectory / Jie Li in Journal of Visual Languages and Computing, vol 41 (August 2017)PermalinkConstrained Palette-Space Exploration / Nicolas Mellado in ACM Transactions on Graphics, TOG, Vol 36 n° 4 (July 2017)PermalinkControllability matters : The user experience of adaptive maps / Peter Kiefer in Geoinformatica, vol 21 n° 3 (July - September 2017)Permalink