"ClusterApp":一个闪亮的R应用程序,以指导基于GPS数据的集群研究.
Johanna Märtz1, Aimee Tallian2, Camilla Wikenros1
1Department of Ecology Swedish University of Agricultural Sciences Riddarhyttan Sweden.
Ecology and evolution
|July 24, 2024
概括
本研究介绍了ClusterApp,这是一个新的R软件工具,用于简化野生动物研究的GPS数据分析. 它简化了动物活动集群的识别和管理,减少了行为生态学研究中的偏见.
科学领域:
- 野生动物生态学
- 行为生态学 行为生态学
- 空间生态学 空间生态学
背景情况:
- 全球定位系统 (GPS) 设备为野生动物研究提供了宝贵的数据.
- 将GPS数据与实地研究结合起来,可以提高对动物行为的理解.
- 分析GPS衍生活动集群的现有方法可能不一致,导致偏见.
研究的目的:
- 开发一种标准化的方法来分析GPS数据以识别动物活动集群.
- 创建一个用户友好的应用程序,用于参数化,映射和管理集群数据.
- 为了减少数据收集偏差,并简化技术人员的现场工作.
主要方法:
- 在R软件中开发"ClusterApp"闪亮应用程序.
- 该应用程序提供了对集群分析和数据管理的逐步指南.
- 用棕熊 (Ursus arctos) 和灰狼 (Canis lupus) 的GPS数据进行说明的用例.
主要成果:
- 集群应用程序为野生动物研究的GPS数据分析提供了一种简化方法.
- 该应用程序有助于生成交互式地图和提取集群数据.
- 使用来自两个不同的物种的数据集证明了有效性.
结论:
- 集群应用程序为基于GPS的野生动物活动集群分析提供了强大而高效的工具.
- 通过ClusterApp标准化方法可以最大限度地减少偏见并改善数据管理.
- 该应用程序支持各种物种的各种野生动物研究应用程序.
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