文章基本信息

标题：An Adaptive Sampling Approach for Trajectories Based on the Concept of Error Ellipses
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作者：Peter RANACHER ; Adam ROUSELL
期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2013
页码：169-176
DOI：10.1553/giscience2013s169
出版社：ÖAW Verlag, Wien
摘要：A trajectory represents an object’s path through space and time. These trajectories are oftenrecorded as a series of spatial positions at discrete time intervals. Depending on thesampling rate employed, there can be a large amount of uncertainty relating to how well thetrajectory represents the actual path taken. By using the concept of error ellipses, an adaptivesampling strategy has been developed that allows for the determination of an optimalsampling rate whilst ensuring that a pre-defined uncertainty threshold is not surpassed. Thisdecreasing of uncertainty means that any trajectory derived using the algorithm presentedwould closely match the actual route taken by the object, thus allowing for more accuratespatial interpretation of the data.