What can spatial collectives tell us about their environment?

Zena Wood
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引用次数: 2

Abstract

Understanding how large groups of individuals move within their environment, and the social interactions that occur during this movement, is central to many fundamental interdisciplinary research questions; ranging from understanding the evolution of cooperation, to managing human crowd behaviour. If we could understand how groups of individuals interact with their environment, and any role that the environment plays in their behaviour, we could design and develop space to better suit their needs. Spatiotemporal datasets that record the movement of large groups of individuals are becoming increasingly available. A method, based on a set of coherence criteria, has previously been developed to identify different types of collective within such datasets. However, further investigations have revealed that the method can be used to reveal important information about the environment. This paper applies the method to a spatiotemporal dataset that records the movements of ships within the Solent, in the UK, over a twenty-four hour period to explore what can be inferred from the movement of groups of individuals, referred to as spatial collectives, regarding the environment.
空间集体能告诉我们关于它们的环境的什么信息?
了解大群体的个体如何在他们的环境中移动,以及在这种移动过程中发生的社会互动,是许多基础跨学科研究问题的核心;从理解合作的进化,到管理人类群体行为。如果我们能够理解个体群体是如何与他们的环境相互作用的,以及环境在他们的行为中扮演的任何角色,我们就可以设计和开发空间,以更好地满足他们的需求。记录大量个体移动的时空数据集正变得越来越可用。以前已经开发了一种基于一套一致性标准的方法来识别这些数据集中不同类型的集体。然而,进一步的调查表明,这种方法可以用来揭示有关环境的重要信息。本文将该方法应用于一个时空数据集,该数据集记录了英国索伦特海域24小时内船舶的运动,以探索从个体群体(称为空间集体)的运动中可以推断出的环境信息。
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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