ABSTRACT

Choropleth maps and graduated symbol maps are often used to visualize quantitative geographic data. However, as the number of classes grows, distinguishing between adjacent classes increasingly becomes challenging. To mitigate this issue, this work introduces choriented maps (maps that use colour and orientation as variables to encode geographic information) and choriented mobile maps (an optimization of choriented maps for mobile devices). The maps were evaluated in a graphical perception study with Sustainable Development Goal data of several European countries. Choriented maps and choriented mobile visualizations resulted in comparable, sometimes better effectiveness and confidence scores than choropleth and graduated symbol maps. The two visualizations also performed well regarding efficiency and only performed worse than graduated symbol maps. These results suggest that using colour and orientation as visual variables in combination can improve user performance and their selection of map symbols during the exploration of geographic data in some scenarios.

摘要

Choropleth 地图和分级符号地图通常用于可视化定量地理数据。然而，随着类别数量的增加，区分相邻类别变得越来越具有挑战性。为了缓解这个问题，这项工作引入了面向方向的地图（使用颜色和方向作为变量来编码地理信息的地图）和面向方向的移动地图（针对移动设备的面向方向的地图的优化）。这些地图是在一个图形感知研究中使用几个欧洲国家的可持续发展目标数据进行评估的。与 choropleth 和分级符号图相比，Choriental 地图和 chorient 移动可视化产生了可比较的，有时甚至更好的有效性和置信度分数。这两种可视化在效率方面也表现良好，只比分级符号图差。