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25 août 2020
- ISIDORE Id: 10670/1.8a27cd...
- hal: hal-02877424
- doi: 10.5194/isprs-archives-XLIII-B4-2020-781-2020
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info:eu-repo/semantics/altIdentifier/doi/10.5194/isprs-archives-XLIII-B4-2020-781-2020
Ce document est lié à :
info:eu-repo/grantAgreement//Grant No. 690462/EU/Urban CLIMate services/URCLIM
info:eu-repo/semantics/OpenAccess
Mots-clés
-Computer Interaction [cs.HC]Sujets proches
Science of climate Climate Climate scienceCiter ce document
Jacques Gautier et al., « Visualizing 3D climate data in urban 3D models », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.5194/isprs-archives-XLIII-B4-2020-781-2020
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Résumé
In order to understand and explain urban climate, the visual analysis of urban climate data and their relationships with the urban morphology is at stake. This involves partly to co-visualize 3D field climate data, obtained from simulation, with urban 3D models. We propose two ways to visualize and navigate into simulated climate data in urban 3D models, using series of horizontal 2D planes and 3D point clouds. We then explore different parameters regarding transparency, 3D semiologic rules, filtering and animation functions in order to improve the visual analysis of climate data 3D distribution. To achieve this, we apply our propositions to the co-visualization of air temperature data with a 3D urban city model.
