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首页> 外文期刊>Journal of Coastal Conservation >Comparing interactive and automated mapping systems for supporting fisheries enforcement activities—a case study on vessel monitoring systems (VMS)
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Comparing interactive and automated mapping systems for supporting fisheries enforcement activities—a case study on vessel monitoring systems (VMS)

机译：比较交互式和自动制图系统以支持渔业执法活动-以船舶监测系统（VMS）为例

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摘要

The conservation of wild fisheries resources in the face of an ever-increasing world demand for seafood requires the use of a number of management tools, including no-take zones, and gear, species, and temporal restrictions. One way of enforcing some of these regulations is through the use of Vessel Monitoring System (VMS) data that provides enforcement officers with the position of fishing vessels in the management area. The increasing volume of movement data collected using VMS calls for new methods that could help analysts extract useful knowledge from these large data sets. Various approaches have been proposed for visualizing and exploring movement data and detecting patterns within these data, but those approaches have generally not been tested in a real-world context or compared together, making their actual usability and utility unclear. This paper describes, compares, and assesses three such approaches in the context of fisheries enforcement: an existing system used for fisheries enforcement operations in Canada (VUE), a novel Hybrid Spatio-temporal Filtering (HSF) system developed by the authors, and an automated Behavioural Change Point Analysis (BCPA) system. A field trial was conducted with experienced fisheries enforcement officers to compare and contrast the benefits and drawbacks of the three approaches. While all three presented advantages and disadvantages, the interactivity of VUE and HSF were identified as desirable features, as they provide analysts with more control over the data, while allowing flexible data exploration. BCPA, while providing an automated approach to the data analysis, was pointed out as being too much of a "black box", causing unease among the experts who require a level of transparency similar to that of legally admissible evidence. In the end, the experts suggested that the best approach would be to merge the analytical power of their existing VUE system with the exploratory power of the HSF system. This study provides insight into the value of using interactive mapping and filtering approaches in support of data analysis in the context of fisheries enforcement.
机译：面对世界对海鲜的不断增长的需求，保护野生渔业资源需要使用许多管理工具，包括禁渔区，渔具，种类和时间限制。强制执行某些法规的一种方法是使用船舶监控系统（VMS）数据，该数据为执法人员提供渔船在管理区域的位置。使用VMS收集的移动数据的数量不断增加，因此需要新的方法来帮助分析人员从这些大型数据集中提取有用的知识。已经提出了用于可视化和探索运动数据以及检测这些数据中的模式的各种方法，但是这些方法通常没有在真实世界中进行测试或一起比较，从而使得它们的实际可用性和实用性不清楚。本文介绍，比较和评估了三种在渔业执法方面的方法：加拿大渔业执法活动中使用的现有系统（VUE），作者开发的新型混合时空过滤（HSF）系统以及自动化的行为改变点分析（BCPA）系统。与经验丰富的渔业执法人员进行了现场试验，以比较和对比这三种方法的利弊。尽管这三个都有优点和缺点，但是VUE和HSF的交互性被认为是理想的功能，因为它们为分析师提供了对数据的更多控制权，同时允许灵活的数据探索。 BCPA虽然提供了一种自动化的数据分析方法，但被认为是过多的“黑匣子”，这引起了专家的不安，他们要求透明性类似于法律上可接受的证据。最后，专家们建议最好的方法是将现有VUE系统的分析能力与HSF系统的探索能力相结合。这项研究深入了解了使用交互式映射和过滤方法在渔业执法背景下支持数据分析的价值。

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