Abstract

The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement data sets. To explore and analyse these data, applications are required that are capable of handling the data while providing an environment that enables the analyst(s) to focus on the task of investigating the movement in the context of the geographic environment it occurred in. We present an extensible, open-source framework for collaborative analysis of geospatial–temporal movement data with a use case in collective behaviour analysis. The framework TEAMwISE supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote set-ups. The implementation can be deployed in a variety of immersive environments, for example, on a tiled display wall and mobile VR devices.

Graphic abstract

中文翻译：

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TEAMwISE：用于探索和分析动物行为的同步沉浸式环境

摘要

负担得起的轻型跟踪传感器的最新可用性使研究人员可以收集大型和复杂的运动数据集。为了探索和分析这些数据，需要能够在处理数据的同时提供一个环境的应用程序，该环境使分析人员能够专注于在发生移动的地理环境中调查移动的任务。一个可扩展的开放源代码框架，用于对地理时空运动数据进行协作分析，并在集体行为分析中提供用例。框架TEAMwISE支持并发使用多个程序实例，从而允许在并置或远程设置中对同一数据有不同的看法。该实现可以部署在各种沉浸式环境中，例如，

图形摘要