A Data-Driven Approach to Categorize Climatic Microenvironments
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In 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.
Description
@inproceedings{10.2312:envirvis.20161105,
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
editor = {Karsten Rink and Ariane Middel and Dirk Zeckzer},
title = {{A Data-Driven Approach to Categorize Climatic Microenvironments}},
author = {Häb, Kathrin and Middel, Ariane and Ruddell, Benjamin L. and Hagen, Hans},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-018-5},
DOI = {10.2312/envirvis.20161105}
}