论文标题
基于合唱图的人口统计的可视化方法评估
An Evaluation of Visualization Methods for Population Statistics Based on Choropleth Maps
论文作者
论文摘要
我们评估了对脉络膜地图的几个增强，以传达其他信息，包括字形，3D，制图，并列地图和阴影方法。虽然合唱图是一种代表社会数据的常见方法，但通过多元数据，它们可以阻碍尽可能地提高理解。尤其是，低人口密度区域通常会主导地图，并可能误导观众传达的信息。我们的结果突出了3D脊柱地图的潜力，以及使用多元数据的唱片地图任务的较低准确性。我们还介绍和评估了流行音乐，这是四种技术，旨在在唱片地图上显示出非常精细的人口密度。所有数据，结果和脚本均可通过https://osf.io/8rxwg/获得。
We evaluate several augmentations to the choropleth map to convey additional information, including glyphs, 3D, cartograms, juxtaposed maps, and shading methods. While choropleth maps are a common method used to represent societal data, with multivariate data they can impede as much as improve understanding. In particular large, low population density regions often dominate the map and can mislead the viewer as to the message conveyed. Our results highlight the potential of 3D choropleth maps as well as the low accuracy of choropleth map tasks with multivariate data. We also introduce and evaluate popcharts, four techniques designed to show the density of population at a very fine scale on top of choropleth maps. All the data, results, and scripts are available from https://osf.io/8rxwg/.
