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Exploratory bivariate and multivariate geovisualizations of a social vulnerability index / Georgianna Strode in Cartographic perspectives, n° 95 (July 2020)  

Public [article]  inCartographic perspectives > n° 95 (July 2020) . - 19 p. Titre : Exploratory bivariate and multivariate geovisualizations of a social vulnerability index Type de document : Article/Communication Auteurs : Georgianna Strode, Auteur ; Victor Mesev, Auteur ; Susanne Bleisch, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 19 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse bivariée [Termes IGN] analyse multivariée [Termes IGN] analyse spatiale [Termes IGN] carte thématique [Termes IGN] données socio-économiques [Termes IGN] ethnie [Termes IGN] Floride (Etats-Unis) [Termes IGN] formule d'Euler [Termes IGN] planification stratégique [Termes IGN] prévention [Termes IGN] santé [Termes IGN] signe conventionnel [Termes IGN] sociologie [Termes IGN] vulnérabilité [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In the United States, the Centers for Disease Control and Prevention (CDC) is the national agency that conducts and supports public health research and practice. Among the CDC’s many achievements is the development of a social vulnerability index (SVI) to aid planners and emergency responders when identifying vulnerable segments of the population, especially during natural hazard events. The index includes an overall social vulnerability ranking as well as four individual themes: socioeconomic, household composition & disability, ethnicity & language, and housing & transportation. This makes the SVI dataset multivariate, but it is typically viewed via maps that show one theme at a time. This paper explores a suite of cartographic techniques that can represent the SVI beyond the univariate view. Specifically, we recommend three techniques: (1) bivariate mapping to illustrate overall vulnerability and population density, (2) multivariate mapping using cartographic glyphs to disaggregate levels of the four vulnerability themes, and (3) visual analytics using Euler diagrams to depict overlap between the vulnerability themes. The CDC’s SVI, and by extension, vulnerability indices in other countries, can be viewed in a variety of cartographic forms that illustrate the location of vulnerable groups of society. Viewing data from various perspectives can facilitate the understanding and analysis of the growing amount and complexity of data. Numéro de notice : A2020-750 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.14714/CP95.1569 Date de publication en ligne : 17/03/2020 En ligne : https://doi.org/10.14714/CP95.1569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96404 [article]

The influence of domain expertise on visual overviews of spatiotemporal data / Susanne Bleisch in International journal of cartography, vol 3 n° 2 (December 2017)  

Public [article]  inInternational journal of cartography > vol 3 n° 2 (December 2017) . - pp 166-186 Titre : The influence of domain expertise on visual overviews of spatiotemporal data Type de document : Article/Communication Auteurs : Susanne Bleisch, Auteur ; Matt Duckham, Auteur ; Christopher Pettit, Auteur Année de publication : 2017 Article en page(s) : pp 166-186 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] base de connaissances [Termes IGN] base de données spatiotemporelles [Termes IGN] exploration de données géographiques [Termes IGN] géovisualisation [Termes IGN] méta connaissance Résumé : (auteur) Overviews of spatiotemporal data are acknowledged to play an important role in visualization in initiating and supporting geovisualization and exploratory data analysis (EDA). However, relatively little research has focused on the visual overviews themselves, and their potential impacts on EDA outcomes. In a user study, we evaluated the influence of different levels of domain knowledge on the usefulness of four distinct types of static visual overview of spatiotemporal data. Beyond simply orienting users, our results indicate that visual overviews can be important in gaining insights into a data set, for example, in learning about metadata. Although subjects without domain knowledge struggled to judge the quality of their findings, they were as successful at identifying interesting patterns in the data as those with domain expertise. Our results suggest that detailed background knowledge of a data set can actively hinder EDA. Being already familiar with their own data sets, our results highlight the tendency of data experts to disregard findings that do not match their pre-existing domain knowledge. Based on these findings, our conclusions identify a range of potential avenues for future work, including the use of visual overviews that deliberately do not, from first view, reveal the context of the data they show. This later approach could help in cases where domain experts need to see their data with ‘fresh eyes’, and detect interesting patterns in spatiotemporal data before relating the findings to specific knowledge about the data sets and the domain. Numéro de notice : A2017-684 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2017.1294820 En ligne : https://.doi.org/10.1080/23729333.2017.1294820 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87348 [article]

Persistent challenges in geovisualization – a community perspective / Arzu Çöltekin in International journal of cartography, vol 3 suppl 1 (May 2017)  

Public [article]  inInternational journal of cartography > vol 3 suppl 1 (May 2017) . - pp 115 - 139 Titre : Persistent challenges in geovisualization – a community perspective Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Susanne Bleisch, Auteur ; Gennady Andrienko, Auteur ; Jason Dykes, Auteur Année de publication : 2017 Article en page(s) : pp 115 - 139 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] recherche scientifique [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Over four workshops, we collected community input on what people considered as persistent challenges in geovisualization with the participation of 72 experts from various sub-domains of geographic information science and technology. We categorize and analyze this bottom-up input, and contrast it with the previously published research challenges based on five research agenda papers (top-down). We observe certain overlaps but also some interesting differences between the top-down and bottom-up approaches. A synthesis of the two suggests three major issues as persistent challenges: (1) a better understanding of the scope of our domain, how it interacts with other domains, and how to make this happen, (2) a systematic understanding of human factors, (3) a ‘practicable’ set of guidelines that matches the visualization types to task types, and guides the practitioner to design geovisualizations that are appropriate and helpful to the user. Distinguishing persistent from important, we discuss why the identified challenges are persistent, and draw recommendations for action based on our observations and interpretations. We believe these findings will help building a stronger, better-grounded research agenda for our community. Numéro de notice : A2018-439 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2017.1302910 Date de publication en ligne : 27/04/2017 En ligne : https://doi.org/10.1080/23729333.2017.1302910 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90930 [article]

Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty / Lisa Cheong in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 30 n° 7- 8 (July - August 2016) . - pp 1377 - 1404 Titre : Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty Type de document : Article/Communication Auteurs : Lisa Cheong, Auteur ; Susanne Bleisch, Auteur ; Allison Kealy, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 1377 - 1404 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] aide à la décision [Termes IGN] incendie de forêt [Termes IGN] incertitude des données [Termes IGN] information géographique [Termes IGN] risque majeur [Termes IGN] visualisation cartographique [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The paper investigates whether the methods chosen for representing uncertain geographic information aid or impair decision-making in the context of wildfire hazard. Through a series of three human subject experiments, utilizing 180 subjects and employing increasingly difficult tasks, this research evaluates the effect of five different visualizations and a text-based representation on decision-making under uncertainty. Our quantitative experiments focus specifically on the task of decision-making under uncertainty, rather than the task of reading levels of uncertainty from the map. To guard against the potential for generosity and risk seeking in decision-making under uncertainty, the experimental design uses performance-based incentives. The experiments showed that the choice of representation makes little difference to performance in cases where subjects are allowed the time and focus to consider their decisions. However, with the increasing difficulty of time pressure, subjects performed best using a spectral color hue-based representation, rather than more carefully designed cartographic representations. Text-based and simplified boundary encodings were among the worst performers. The results have implications for the performance of decision-making under uncertainty using static maps, especially in the stressful environments surrounding an emergency. Numéro de notice : A2016-308 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1131829 En ligne : http://dx.doi.org/10.1080/13658816.2015.1131829 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80908 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2016042	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2016041	RAB	Revue	Centre de documentation	En réserve L003	Disponible