Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Jacques Gautier; Mathieu Bredif; Sidonie Christophe

doi:10.1109/VIS47514.2020.00021

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Jacques Gautier
, Mathieu Bredif
, Sidonie Christophe

IGN Institut Geographique National

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology.

langue originale	Anglais
titre	Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	71-75
Nombre de pages	5
ISBN (Electronique)	9781728180144
Les DOIs	https://doi.org/10.1109/VIS47514.2020.00021
état	Publié - 1 oct. 2020
Modification externe	Oui
Evénement	2020 IEEE Visualization Conference, VIS 2020 - Virtual, Online, États-Unis Durée: 25 oct. 2020 → 30 oct. 2020

Série de publications

Nom	Proceedings - 2020 IEEE Visualization Conference, VIS 2020

Une conférence

Une conférence	2020 IEEE Visualization Conference, VIS 2020
Pays/Territoire	États-Unis
La ville	Virtual, Online
période	25/10/20 → 30/10/20

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 13 Action climatique

Accès au document

10.1109/VIS47514.2020.00021

Contient cette citation

Gautier, J., Bredif, M., & Christophe, S. (2020). Co-Visualization of Air Temperature and Urban Data for Visual Exploration. Dans Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020 (p. 71-75). Article 9331273 (Proceedings - 2020 IEEE Visualization Conference, VIS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VIS47514.2020.00021

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title = "Co-Visualization of Air Temperature and Urban Data for Visual Exploration",

abstract = "Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology.",

keywords = "Geographic visualization, Human-centered computing, Visualization, Visualization design and evaluation methods, Visualization techniques",

author = "Jacques Gautier and Mathieu Bredif and Sidonie Christophe",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Visualization Conference, VIS 2020 ; Conference date: 25-10-2020 Through 30-10-2020",

year = "2020",

month = oct,

day = "1",

doi = "10.1109/VIS47514.2020.00021",

language = "English",

series = "Proceedings - 2020 IEEE Visualization Conference, VIS 2020",

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booktitle = "Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020",

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Gautier, J, Bredif, M & Christophe, S 2020, Co-Visualization of Air Temperature and Urban Data for Visual Exploration. Dans Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020., 9331273, Proceedings - 2020 IEEE Visualization Conference, VIS 2020, Institute of Electrical and Electronics Engineers Inc., p. 71-75, 2020 IEEE Visualization Conference, VIS 2020, Virtual, Online, États-Unis, 25/10/20. https://doi.org/10.1109/VIS47514.2020.00021

Co-Visualization of Air Temperature and Urban Data for Visual Exploration. / Gautier, Jacques; Bredif, Mathieu; Christophe, Sidonie.
Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 71-75 9331273 (Proceedings - 2020 IEEE Visualization Conference, VIS 2020).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Co-Visualization of Air Temperature and Urban Data for Visual Exploration

AU - Gautier, Jacques

AU - Bredif, Mathieu

AU - Christophe, Sidonie

PY - 2020/10/1

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N2 - Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology.

AB - Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology.

KW - Geographic visualization

KW - Human-centered computing

KW - Visualization

KW - Visualization design and evaluation methods

KW - Visualization techniques

U2 - 10.1109/VIS47514.2020.00021

DO - 10.1109/VIS47514.2020.00021

M3 - Conference contribution

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T3 - Proceedings - 2020 IEEE Visualization Conference, VIS 2020

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BT - Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Visualization Conference, VIS 2020

Y2 - 25 October 2020 through 30 October 2020

ER -

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Résumé

Série de publications

Une conférence

SDG des Nations Unies

Accès au document

Empreinte digitale

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