
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.
Human-centered computing—Visualization—Visualization design and evaluation methods--Visualization techniques, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Human-centered computing—Visualization— Geographic visualization, [SHS.INFO] Humanities and Social Sciences/Library and information sciences
Human-centered computing—Visualization—Visualization design and evaluation methods--Visualization techniques, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Human-centered computing—Visualization— Geographic visualization, [SHS.INFO] Humanities and Social Sciences/Library and information sciences
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
