Ranacher Peter, Tzavella Katerina
Department of Geoinformatics - Z_GIS, University of Salzburg , Schillerstraße 30, 5020 Salzburg , Austria.
Fraunhofer FKIE , Fraunhoferstr. 20, 53343 Wachtberg , Germany.
Cartogr Geogr Inf Sci. 2014 May 27;41(3):286-307. doi: 10.1080/15230406.2014.890071. Epub 2014 Mar 7.
In geographic information science, a plethora of different approaches and methods is used to assess the similarity of movement. Some of these approaches term two moving objects similar if they share akin paths. Others require objects to move at similar speed and yet others consider movement similar if it occurs at the same time. We believe that a structured and comprehensive classification of movement comparison measures is missing. We argue that such a classification not only depicts the status quo of qualitative and quantitative movement analysis, but also allows for identifying those aspects of movement for which similarity measures are scarce or entirely missing. In this review paper we, first, decompose movement into its spatial, temporal, and spatiotemporal movement parameters. A movement parameter is a physical quantity of movement, such as speed, spatial path, or temporal duration. For each of these parameters we then review qualitative and quantitative methods of how to compare movement. Thus, we provide a systematic and comprehensive classification of different movement similarity measures used in geographic information science. This classification is a valuable first step toward a GIS toolbox comprising all relevant movement comparison methods.
在地理信息科学中，人们使用大量不同的方法来评估运动的相似性。其中一些方法认为，如果两个移动对象的路径相似，那么它们就是相似的。另一些方法要求对象以相似的速度移动，还有一些方法认为，如果运动同时发生，那么它就是相似的。我们认为，目前缺少对运动比较度量的结构化和全面分类。我们认为，这样的分类不仅描述了定性和定量运动分析的现状，还能识别出那些相似性度量稀缺或完全缺失的运动方面。在这篇综述论文中，我们首先将运动分解为其空间、时间和时空运动参数。运动参数是运动的一个物理量，如速度、空间路径或时间持续时间。然后，对于这些参数中的每一个，我们回顾如何比较运动的定性和定量方法。因此，我们对地理信息科学中使用的不同运动相似性度量进行了系统而全面的分类。这种分类是迈向包含所有相关运动比较方法的GIS工具箱的有价值的第一步。
