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Modeling Moving Geospatial Objects from an Event-based Perspective

机译：从基于事件的角度建模移动地理空间对象

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摘要

In this paper, the dynamic happenings or occurrents experienced by entities in a geospatial domain, are modeled as events and from an analysis of these events, we show how meaningful information about the movement of objects can be abstracted. The semantics of moving objects are captured based on different events, for example, specialized events, such as departure, arrival, or unexpected destination events. The paper presents an approach for abstracting patterns of movement from event sequences based on key attributes: object identity, event description, and event location. A set of eight possible event pattern types are distinguished and discussed in the paper. From these patterns, three notable patterns of events are presented, i.e. identifiable trends of movement that are worthy of further attention or perhaps intervention. Two of these patterns, repeating and collocating, capture particular kinds of movement within a traversal or transit of a domain by a single moving object, such as a zigzag movement or reversal of direction, while a reiterating pattern of events corresponds to a movement pattern associated with multiple objects and describes, for example, convergence in a region. The inclusion of events in the data model provides a foundation for distinguishing particular semantics of movement based on patterns of events, providing a basis for querying different kinds of events as well as providing a foundation for developing automated event notification systems.
机译：在本文中，将实体在地理空间域中经历的动态事件或事件建模为事件，并通过对这些事件的分析，我们展示了如何可以抽象出有关对象运动的有意义的信息。根据不同事件（例如，特殊事件（例如，离开，到达或意外的目的地事件））捕获移动对象的语义。本文提出了一种基于关键属性从事件序列中抽象运动模式的方法：对象标识，事件描述和事件位置。本文对一组八种可能的事件模式类型进行了区分和讨论。从这些模式中，提出了三种值得注意的事件模式，即可识别的运动趋势，值得进一步关注或干预。这些模式中的两个（重复和并置）捕获单个移动对象在域的遍历或转换内的特定类型的运动，例如之字形运动或方向反向，而事件的重复模式对应于关联的运动模式包含多个对象，并描述例如某个区域的收敛。数据模型中事件的包含为基于事件模式区分运动的特定语义提供了基础，为查询不同类型的事件提供了基础，并为开发自动化事件通知系统提供了基础。

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