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

Univ. Paris-Est
IGN Institut Geographique National

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	71-75
Number of pages	5
ISBN (Electronic)	9781728180144
DOIs	https://doi.org/10.1109/VIS47514.2020.00021
Publication status	Published - 1 Oct 2020
Externally published	Yes
Event	2020 IEEE Visualization Conference, VIS 2020 - Virtual, Online, United States Duration: 25 Oct 2020 → 30 Oct 2020

Publication series

Name	Proceedings - 2020 IEEE Visualization Conference, VIS 2020

Conference

Conference	2020 IEEE Visualization Conference, VIS 2020
Country/Territory	United States
City	Virtual, Online
Period	25/10/20 → 30/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Geographic visualization
Human-centered computing
Visualization
Visualization design and evaluation methods
Visualization techniques

Access to Document

10.1109/VIS47514.2020.00021

Cite this

Gautier, J., Bredif, M., & Christophe, S. (2020). Co-Visualization of Air Temperature and Urban Data for Visual Exploration. In Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020 (pp. 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

@inproceedings{665c56dad5f749a586e7475f088efe54,

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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "71--75",

booktitle = "Proceedings 2020 IEEE Visualization Conference {\textendash} Short Papers, VIS 2020",

}

Gautier, J, Bredif, M & Christophe, S 2020, Co-Visualization of Air Temperature and Urban Data for Visual Exploration. in Proceedings 2020 IEEE Visualization Conference – Short Papers, VIS 2020., 9331273, Proceedings - 2020 IEEE Visualization Conference, VIS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 71-75, 2020 IEEE Visualization Conference, VIS 2020, Virtual, Online, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Y1 - 2020/10/1

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

AN - SCOPUS:85100829343

T3 - Proceedings - 2020 IEEE Visualization Conference, VIS 2020

SP - 71

EP - 75

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this