Häb, KathrinMiddel, ArianeRuddell, Benjamin L.Hagen, HansKarsten Rink and Ariane Middel and Dirk Zeckzer2016-06-092016-06-092016978-3-03868-018-5-https://doi.org/10.2312/envirvis.20161105https://diglib.eg.org:443/handle/10In urban climatology, identifying areas of similar microclimatic conditions helps to relate fine-scale urban morphology variations to their impact on atmospheric surroundings. Mobile transect measurements yield high-resolution microclimate data that allow for the delineation of these areas at a fine scale. However, the resulting spatio-temporal multivariate data is complicated and requires careful analysis and visualization to identify the emergent climatic microenvironments. Our previous work used a glyph-based visualization to comprehensively visualize spatially aggregated multivariate data from mobile measurements over diverse routes. This aggregation was conducted over a regular grid, and the utilized glyphs encoded multivariate relationships, average wind direction during data collection, number of transects traversing a grid cell, and grid cell size. In this paper, we reduce the visual complexity of the resulting map by coloring the background of the grid cells based on a comparison of the glyphs. The result is a gridded map that visually emphasizes spatial zones of similar multivariate relationships and that takes the information encoded by the glyphs into account. A preliminary evaluation shows that the described approach yields zones that line up with the physical structure of the study site.Computer Graphics [I.3.8]ApplicationsComputer Applications [J.2]Earth and atmospheric sciences10.2312/envirvis.2016110535-39