文章基本信息

标题：Empirical Insights from a Study on Outlier Preserving Value Generalization in Animated Choropleth Maps
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作者：Christoph Traun ; Manuela Larissa Schreyer ; Gudrun Wallentin 等
期刊名称：ISPRS International Journal of Geo-Information
电子版ISSN：2220-9964
出版年度：2021
卷号：10
期号：4
页码：208
DOI：10.3390/ijgi10040208
语种：English
出版社：MDPI AG
摘要：Time series animation of choropleth maps easily exceeds our perceptual limits. In this empirical research, we investigate the effect of local outlier preserving value generalization of animated choropleth maps on the ability to detect general trends and local deviations thereof. Comparing generalization in space, in time, and in a combination of both dimensions, value smoothing based on a first order spatial neighborhood facilitated the detection of local outliers best, followed by the spatiotemporal and temporal generalization variants. We did not find any evidence that value generalization helps in detecting global trends.