Advanced Visualization : Research and Practice Map Warping for the Annotation of Metro Maps
Advanced Visualization : Research and Practice Map Warping for the Annotation of Metro Maps
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发表时间：
2008
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通讯作者：
Joachim Böttger;U. Brandes;O. Deussen;Hendrik Ziezold
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作者：
Joachim Böttger;U. Brandes;O. Deussen;Hendrik Ziezold
当人们使用城市的公共交通系统时，他们面临着一项看似简单的任务。他们从城市的某个地方出发，到附近的一个车站，寻找到他们想去的地方附近的另一个车站的最佳连接，然后旅行到那个车站，最后到达他们的目的地。通常，人们使用两张地图来完成这一任务：一张普通的地理城市地图(街道水平地图)和一张公共交通系统示意图(地铁地图)。原因是这两种类型的地图都有优缺点。街道地图非常适合获取每一条街道的详细信息。然而，它很难快速概述公共交通网络，即使它包括这个网络。另一方面，地铁地图针对连接的可读性和交通网络的结构进行了优化。然而，它很少显示其周围的不同站点，并且它无法为我们刚才描述的任务提供所需的上下文信息。(有关这两种地图的更多信息，请参阅“使用地图导航”侧栏。)为了简化地铁地图和街道地图之间的转换，我们开发了一种扭曲街道地图信息以适应地铁地图的方法。结果是一张既包含交通网络信息又包含详细街道信息的复合地图。对于这种扭曲，我们使用了来自图像失真领域的映射，这特别适合于地理信息。我们还介绍了生成动态交互地图的功能，这些地图既适用于街道级导航，也适用于公共交通系统中的导航。
When people use a city’s public-transportation system, they face a seemingly simple task. They start at a point somewhere in the city, go to a nearby station, look for the best connection to another station near where they want to go, travel to that station, and finally go to their destination. Usually, people use two maps to accomplish that task: an ordinary geographic city map (a street-level map) and a schematic map of the public-transportation system (a metro map). The reason for that is that both types of maps have advantages and disadvantages. The streetlevel map is well suited for gaining detailed information down to every single street. However, it struggles to give a fast overview of the public-transportation network, even if it includes that network. A metro map, on the other hand, is optimized for readability of connections and the transportation network’s structure. However, it seldom shows the different stations in their surroundings, and it fails to deliver the needed contextual information for the task we just described. (For more on these two types of maps, see the “Navigation with Maps” sidebar.) To ease the transition between metro maps and street-level maps, we developed a method that warps the street-level map information to fit a metro map. The result is a compound map containing both transportation network information and detailed street information. For that warp, we use a mapping from the field of image distortion, which is especially suited for geographical information. We also introduce features that yield dynamic interactive maps applicable for both street-level navigation and navigation in the public-transportation system.