The CMR model of moving regions

Mark McKenney, Sarita C. Viswanadham, Elizabeth Littman
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引用次数: 10

Abstract

Many natural phenomena can be nicely represented by concepts of moving regions. For example, hurricanes, rain clouds, pollution zones, etc., change shape and position over time. Current models of moving regions have proven to be difficult to translate effectively to implementation for two reasons: i) algorithms for operations, such as intersection, are difficult to implement, and ii) creating instances of moving regions from data sources is difficult. In this paper, we create a new model of moving regions at the abstract, discrete, and implementation levels that overcome the difficulties of previous models. The CMR Model aligns well with data collection techniques, can be implemented easily, and allows complex movement patterns to be easily depicted.
运动区域的CMR模型
许多自然现象可以很好地用运动区域的概念来表示。例如,飓风、雨云、污染区等,随着时间的推移会改变形状和位置。目前的移动区域模型已经被证明很难有效地转化为实现,原因有两个:i)操作算法,如交集,很难实现,ii)从数据源创建移动区域的实例是困难的。在本文中,我们在抽象、离散和实现层面上创建了一个新的移动区域模型,克服了以前模型的困难。CMR模型与数据收集技术很好地结合在一起,可以很容易地实现,并且可以很容易地描述复杂的运动模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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