Centre dedocumentation
scientifique

Temporal transitions of demographic dot maps / Jeff Allen in International journal of cartography, vol 8 n° 2 (July 2022)  

Public [article]  inInternational journal of cartography > vol 8 n° 2 (July 2022) . - pp 208 - 222 Titre : Temporal transitions of demographic dot maps Type de document : Article/Communication Auteurs : Jeff Allen, Auteur Année de publication : 2022 Article en page(s) : pp 208 - 222 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle [Termes IGN] carte de répartition par points [Termes IGN] carte interactive [Termes IGN] distribution spatiale [Termes IGN] données démographiques [Termes IGN] données localisées historiques [Termes IGN] interpolation linéaire [Termes IGN] pauvreté [Termes IGN] population [Termes IGN] répartition géographique [Termes IGN] représentation cartographique [Termes IGN] représentation du changement [Termes IGN] Toronto [Termes IGN] visualisation cartographique [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Dot maps are often used to display the distributions of populations over space. This paper details a method for extending dot maps in order to visualize changes in spatial patterns over time. Specifically, we outline a selective linear interpolation procedure to encode the time range in which dots are visible on a map, which then allows for temporal queries and animation. This methodology is exemplified first by animating population growth across the United States, and second, through an interactive application showing changing poverty distributions in Toronto, Canada. Numéro de notice : A2022-920 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2021.1910184 Date de publication en ligne : 18/05/2021 En ligne : https://doi.org/10.1080/23729333.2021.1910184 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102460 [article]

Visualising post-disaster damage on maps: a user study / Thomas Candela in International journal of geographical information science IJGIS, vol 36 n° 7 (juillet 2022)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 36 n° 7 (juillet 2022) . - pp 1364 - 1393 Titre : Visualising post-disaster damage on maps: a user study Type de document : Article/Communication Auteurs : Thomas Candela, Auteur ; Matthieu Péroche, Auteur ; Arnaud Sallaberry, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 1364 - 1393 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de répartition par points [Termes IGN] catastrophe naturelle [Termes IGN] comportement [Termes IGN] dommage matériel [Termes IGN] enquête [Termes IGN] lecture de carte [Termes IGN] oculométrie [Termes IGN] psychologie cognitive [Termes IGN] représentation cartographique [Termes IGN] sémiologie graphique [Termes IGN] tessellation [Vedettes matières IGN] Géovisualisation Résumé : (auteur) The mapping of the damage caused by natural disasters is a crucial step in deciding on the actions to take at the international, national, and local levels. The large variety of representations that we have observed leads to problems of transfer and variations in analysis. In this article, we propose a representation, Regular Dot map (RD), and we compare it to 4 others routinely used to visualise post-disaster damage. Our comparison is based on a user study in which a set of participants carried out various tasks on multiple datasets using the various visualisations. We then analysed the behaviour during the experiment using three approaches: (1) quantitative analysis of user answers according to the reality on the ground, (2) quantitative analysis of user preferences in terms of perceived effectiveness and appearance, and (3) qualitative analysis of the data collected using an eye tracker. The results of this study lead us to believe that RD is the best compromise in terms of effectiveness among the various representations studied. Numéro de notice : A2022-492 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2063872 Date de publication en ligne : 19/04/2022 En ligne : https://doi.org/10.1080/13658816.2022.2063872 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100971 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2022071	SL	Revue	Centre de documentation	Revues en salle	Disponible

Descriptive measures of point distributions summarized with respect to spatial scale in visualization / Yukio Sadahiro in Cartographica, vol 53 n° 3 (Fall 2018)  

Public [article]  inCartographica > vol 53 n° 3 (Fall 2018) . - pp 185 - 202 Titre : Descriptive measures of point distributions summarized with respect to spatial scale in visualization Type de document : Article/Communication Auteurs : Yukio Sadahiro, Auteur Année de publication : 2018 Article en page(s) : pp 185 - 202 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle [Termes IGN] carte de répartition par points [Termes IGN] carte thématique [Termes IGN] méthode fondée sur le noyau [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Visual exploration plays a critical role in point pattern analysis. It permits analysts to grasp a wide variety of spatial patterns in point distributions that are not necessarily detectable by mathematical and statistical methods. Since spatial patterns are scale-dependent, grid and kernel density maps are effective in analysis that can visualize point distributions at various scales from small to large. Visual exploration of these maps, however, takes a considerable amount of time even if the maps are generated automatically in GIS software. In addition, visual exploration inevitably becomes subjective and unstable when treating numerous maps simultaneously. It is not easy to evaluate and memorize spatial patterns in maps in a consistent and objective way. To resolve the problem, this article proposes new quantitative measures summarizing the characteristics of point distributions. The measures can be visualized as maps that help analysts to capture the overall spatial pattern of point distributions efficiently. Numerical experiments and applications to real data analysis are performed to test the validity of the proposed measures. The results reveal the effectiveness of the measures, as well as their shortcomings, to be resolved in future research. Numéro de notice : A2018-482 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.3.2017-0023 Date de publication en ligne : 01/10/2018 En ligne : https://doi.org/10.3138/cart.53.3.2017-0023 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91207 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2018031	SL	Revue	Centre de documentation	Revues en salle	Disponible

Scaling the interactive dot map / Kyle E. Walker in Cartographica, vol 53 n° 3 (Fall 2018)  

Public [article]  inCartographica > vol 53 n° 3 (Fall 2018) . - pp 171 - 184 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] Géovisualisation Résumé : (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 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
031-2018031	SL	Revue	Centre de documentation	Revues en salle	Disponible

BinSq : visualizing geographic dot density patterns with gridded maps / Alvin Chua in Cartography and Geographic Information Science, Vol 44 n° 5 (September 2017)  

Public [article]  inCartography and Geographic Information Science > Vol 44 n° 5 (September 2017) . - pp 390 - 409 Titre : BinSq : visualizing geographic dot density patterns with gridded maps Type de document : Article/Communication Auteurs : Alvin Chua, Auteur ; Andrew Vande Moere, Auteur Année de publication : 2017 Article en page(s) : pp 390 - 409 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de répartition par points [Termes IGN] déplacement d'objet géographique [Termes IGN] données localisées [Termes IGN] généralisation cartographique [Termes IGN] grille [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) Dot maps have become a popular way to visualize discrete geographic data. Yet, beyond showing how the data are spatially distributed, dot maps are often visually cluttered in terms of consistency, overlap, and representativeness. Existing clutter reduction techniques like jittering, refinement, distortion, and aggregation also address this issue, but do so by arbitrarily displacing dots from their exact location, removing dots from the map, changing the spatial reference of the map, or reducing its level of detail, respectively. We present BinSq, a novel visualization technique to compare variations in dot density patterns without visual clutter. Based on a careful synthesis of existing clutter reduction techniques, BinSq reduces the wide variety of dot density variations on the map to a representative subset of density intervals that are more distinguishable. The subset is derived from a nested binning operation that introduces order and regularity to the map. Thereafter, a dot prioritization operation improves the representativeness of the map by equalizing visible data values to correspond with the actual data. In this paper, we describe the algorithmic implementation of BinSq, explore its parametric design space, and discuss its capabilities in comparison to six existing clutter reduction techniques for dot maps. Numéro de notice : A2017-448 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1174623 En ligne : http://dx.doi.org/10.1080/15230406.2016.1174623 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86357 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2017051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Interactive map to illustrate seat distributions of political party support levels : a web GIS application / Yifei Chen in Cartographica, vol 51 n° 3 (Fall 2016)  

Permalink

Mixed map labeling / Maarten Löffler in Journal of Spatial Information Science (JoSIS), n° 13 (September 2016)  

Permalink

Automated dot mapping: how to dot the dot map / A. Hey in Cartography and Geographic Information Science, vol 39 n° 1 (January 2012)  

Permalink