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.
Figure 4: Co-visualization of urban data and air temperature data. On lines: Geometric proxies for temperature: none, horizontal planes, 3D point cloud, vertical planes. On columns: styles for buildings: in 2 modes, uniform or LCZ classification colors, opaque, footprints, transparent.
Keywords: Human-centered computing – Visualization, Geographic visualization, Visualization design and evaluation methods, visualization techniques.
How to cite this article: Jacques Gautier, Mathieu Brédif, Sidonie Christophe. 2020. Co-visualization of air temperature and urban data for visual exploration. IEEEVIS 2020.