Abstract

Current tracking technology such as GPS data loggers allows biologists to remotely collect large amounts of movement data for a large variety of species. Extending, and often replacing interpretation based on observation, the analysis of the collected data supports research on animal behaviour, on impact factors such as climate change and human intervention on the globe, as well as on conservation programs. However, this analysis is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, for example, for the detection of behavioural patterns, and human inspection, for example, for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. For this analysis and inspection, the movement data needs to be put into the context of environmental data, which helps to interpret the behaviour. Thus, a major challenge is to design and develop methods and intuitive interfaces that integrate the data for analysis by biologists. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments.

Graphic abstract

中文翻译：

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视觉分析传感器移动数据以进行猎豹行为分析

摘要

当前的跟踪技术（例如GPS数据记录器）使生物学家能够远程收集各种物种的大量运动数据。对收集到的数据的分析扩展并经常取代基于观察的解释，从而支持对动物行为，气候变化和人类对地球的干预等影响因素以及保护计划的研究。然而，由于研究问题的性质和数据集的复杂性，这种分析是困难的。它既需要自动分析（例如，用于检测行为模式），又需要进行人工检查（例如，用于解释，包含先前的知识以及对未来行动和决策的结论）。为了进行分析和检查，需要将运动数据放入环境数据的上下文中，这有助于解释行为。因此，一个主要的挑战是设计和开发方法和直观的界面，以整合数据以供生物学家分析。我们提出了一种基于Web的方式对猎豹运动数据进行可视化分析的概念和实现，可以在野外和办公室环境中使用。

图形摘要