Centre de documentation
scientifique

Designing geovisual analytics environments and displays with humans in mind / Arzu Çöltekin in ISPRS International journal of geo-information, vol 8 n° 12 (December 2019)  

Public [article]  inISPRS International journal of geo-information > vol 8 n° 12 (December 2019) . - n° 572 Titre : Designing geovisual analytics environments and displays with humans in mind Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Sidonie Christophe , Auteur ; Anthony Robinson, Auteur ; Urška Demšar, Auteur Année de publication : 2019 Projets : 1-Pas de projet / Article en page(s) : n° 572 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse visuelle [Termes IGN] interface homme-machine [Termes IGN] langage naturel (informatique) [Termes IGN] réalité virtuelle [Termes IGN] représentation cartographique 3D [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) [Introduction] In this open-access Special Issue, we feature a set of publications under the theme “Human-Centered Geovisual Analytics and Visuospatial Display Design”. As the title suggests, the scope of this collection is on human-centered questions regarding visual analytics software environments; and the design of visuospatial displays within and beyond these environments. The essential building blocks of visual analytics (VA) are computers and humans [1]. Without computers (i.e., technology and quantitative methods such as those used in statistics and data science) VA simply would not exist. For decades now, it has been clear that computers are better than humans in processing large amounts of data, being capable of storing and quickly retrieving what is needed. Mechanisms such as parsing and filtering, automated pattern detection and machine learning, manual queries, and coordinated-view visualizations make visual analytics environments amazingly versatile and powerful [2]. The tools contained in VA environments assist us in spatial learning, discovery, and decision making [3,4]. It is important to remember that they can really only play an assistive role however, because tasks such as learning, interpreting patterns to make discoveries, and decision making are inherently qualitative. Often the goal is to make decisions based on observed patterns and anomalies. Such patterns and anomalies are much more likely to emerge (and if they are known to exist, they are better expressed) with visualizations than via numbers or tables alone [5]. Numéro de notice : A2019-614 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi8120572 Date de publication en ligne : 11/12/2019 En ligne : https://doi.org/10.3390/ijgi8120572 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95213 [article]

Geospatial big data and cartography : research challenges and opportunities for making maps that matter / Anthony C. Robinson in International journal of cartography, vol 3 suppl 1 (May 2017)  

Public [article]  inInternational journal of cartography > vol 3 suppl 1 (May 2017) . - pp 32 - 60 Titre : Geospatial big data and cartography : research challenges and opportunities for making maps that matter Type de document : Article/Communication Auteurs : Anthony C. Robinson, Auteur ; Urška Demšar, Auteur ; Antoni B. Moore, Auteur ; Aileen Buckley, Auteur ; Jiang Bin, Auteur ; Kenneth Field, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 32 - 60 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes IGN] données localisées [Termes IGN] données massives [Termes IGN] recherche scientifique Résumé : (Auteur) Geospatial big data present a new set of challenges and opportunities for cartographic researchers in technical, methodological and artistic realms. New computational and technical paradigms for cartography are accompanying the rise of geospatial big data. Additionally, the art and science of cartography needs to focus its contemporary efforts on work that connects to outside disciplines and is grounded in problems that are important to humankind and its sustainability. Following the development of position papers and a collaborative workshop to craft consensus around key topics, this article presents a new cartographic research agenda focused on making maps that matter using geospatial big data. This agenda provides both long-term challenges that require significant attention and short-term opportunities that we believe could be addressed in more concentrated studies. Numéro de notice : A2018-436 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2016.1278151 Date de publication en ligne : 13/03/2017 En ligne : https://doi.org/10.1080/23729333.2016.1278151 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90922 [article]

Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time / Urška Demšar in Geoinformatica, vol 19 n° 1 (January - March 2015)  

Public [article]  inGeoinformatica > vol 19 n° 1 (January - March 2015) . - pp 85 - 115 Titre : Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time Type de document : Article/Communication Auteurs : Urška Demšar, Auteur ; Kevin Buchin, Auteur ; E. Emiel Van Loon, Auteur ; Judy Shamoun-Baranes, Auteur Année de publication : 2015 Article en page(s) : pp 85 - 115 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation spatiale [Termes IGN] agrégation temporelle [Termes IGN] analyse spatio-temporelle [Termes IGN] Aves [Termes IGN] cube espace-temps [Termes IGN] densité [Termes IGN] distance de propagation [Termes IGN] données spatiotemporelles [Termes IGN] estimation par noyau [Termes IGN] migration animale [Termes IGN] positionnement cinématique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Recent developments and ubiquitous use of global positioning devices have revolutionised movement ecology. Scientists are able to collect increasingly larger movement datasets at increasingly smaller spatial and temporal resolutions. These data consist of trajectories in space and time, represented as time series of measured locations for each tagged animal. Such data are analysed and visualised using methods for estimation of home range or utilisation distribution, which are often based on 2D kernel density in geographic space. These methods have been developed for much sparser and smaller datasets obtained through very high frequency (VHF) radio telemetry. They focus on the spatial distribution of measurement locations and ignore time and sequentiality of measurements. We present an alternative geovisualisation method for spatio-temporal aggregation of trajectories of tagged animals: stacked space-time densities. The method was developed to visually portray temporal changes in animal use of space using a volumetric display in a space-time cube. We describe the algorithm for calculation of stacked densities using four different decay functions, normally used in space use studies: linear decay, bisquare decay, Gaussian decay and Brownian decay. We present a case study, where we visualise trajectories of lesser black backed gulls, collected over 30 days. We demonstrate how the method can be used to evaluate temporal site fidelity of each bird through identification of two different temporal movement patterns in the stacked density volume: spatio-temporal hot spots and spatial-only hot spots. Numéro de notice : A2015-486 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0207-5 Date de publication en ligne : 03/04/2014 En ligne : https://doi.org/10.1007/s10707-014-0207-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77249 [article]

Visual comparison of moving-window kriging models / Urška Demšar in Cartographica, vol 46 n° 4 (December 2011)  

Public [article]  inCartographica > vol 46 n° 4 (December 2011) . - pp 211 - 226 Titre : Visual comparison of moving-window kriging models Type de document : Article/Communication Auteurs : Urška Demšar, Auteur ; P. Harris, Auteur Année de publication : 2011 Article en page(s) : pp 211 - 226 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse comparative [Termes IGN] krigeage [Termes IGN] visualisation cartographique Résumé : (Auteur) Kriging is a spatial prediction method that is core to the geo-statistical paradigm. Commonly applied in the environmental sciences, it enables a prediction at an unsampled location coupled with a measure of confidence in its accuracy. Many variations of kriging exist, some of them complex, especially those that allow many parameters to vary spatially. Calibrating such a kriging model and interpreting its results can therefore be quite daunting. We suggest that visualization and visual exploration can help with this task. In particular, we focus on the moving-window kriging model, evaluating three newly developed robust variants of this model against a basic counterpart. We use star icon maps and plots to visually explore model results to evaluate model parameterization, specification, and performance. Numéro de notice : A2011-483 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/carto.46.4.211 En ligne : https://doi.org/10.3138/carto.46.4.211 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31377 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2011041	SL	Revue	Centre de documentation	Revues en salle	Disponible

Space, time and visual analytics / Gennady Adrienko in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1577 - 1600 Titre : Space, time and visual analytics Type de document : Article/Communication Auteurs : Gennady Adrienko, Auteur ; Natalia Adrienko, Auteur ; Urška Demšar, Auteur ; D. Dranch, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 1577 - 1600 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] analyse visuelle [Termes IGN] utilisateur [Termes IGN] visualisation de données Résumé : (Auteur) Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems. Numéro de notice : A2010-468 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.508043 En ligne : https://doi.org/10.1080/13658816.2010.508043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30661 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Space-time density of trajectories : exploring spatio-temporal patterns in movement data / Urška Demšar in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Permalink

Combining geovisual analytics with spatial statistics: the example of geographically weighted regression / Urška Demšar in Cartographic journal (the), vol 45 n° 3 (August 2008)  

Permalink

Combining formal and exploratory methods for evaluation of an exploratory geovisualization: Application in a low-cost usability experiment / Urška Demšar in Cartography and Geographic Information Science, vol 34 n° 1 (January 2007)  

Permalink