一个协议,从在线生物多样性数据库中检索和整理空间和气候数据,使用R.
Marina Coca-De-La-Iglesia1,2, Virginia Valcárcel1,3, Nagore G Medina1,3
1Departamento de Biología, Universidad Autónoma de Madrid (UAM), Madrid, Spain.
Bio-protocol
|October 30, 2023
概括
本研究引入了一个R语言协议,用于自动处理空间和气候生物多样性数据. 它简化了生态和进化研究的数据准备,使高质量的生物多样性数据更容易获得.
科学领域:
- 生物多样性信息学 生物多样性信息学
- 计算生态学计算生态学
- 生物信息学是一种生物信息学.
背景情况:
- 高质量的生物多样性数据对于生态和进化研究至关重要.
- 现有的生物多样性数据分散在在线数据库中,需要复杂的准备.
- 手动数据处理耗时且容易出现错误.
研究的目的:
- 开发R语言的自动化协议,用于处理空间和气候生物多样性数据.
- 简化来自多个在线来源的数据采集,清理和集成.
- 促进生物多样性数据分析用于生态和进化研究.
主要方法:
- 开发了一个R脚本来下载,合并,清洁和纠正空间生物多样性数据.
- 从像WorldClim.com这样的来源提取综合气候数据.
- 实现过器用于数据清理,包括范围验证和空间校正.
- 作为一个案例研究,利用了人参家族 (Araliaceae) 的属.
主要成果:
- 该协议自动处理多种种类的空间和气候数据.
- 它成功地集成了GBIF,BIEN和WorldClim的数据,可适应其他数据库.
- 清洁过程有效地消除了错误和超出范围的事件.
- 该脚本是模块化的,允许独立执行数据清理或气候数据提取.
结论:
- 开发的R协议大大减少了生物多样性数据准备的时间和复杂性.
- 它提高了生态和进化研究数据的可访问性和质量.
- 该协议是用户友好的,有评论的代码,适合具有有限R经验的用户.
关键词:
很好,非常好,非常好.生物多样性 生物多样性气候 气候 气候 气候 气候数据清理数据清理数据库数据库数据库是一个数据库.生态生态学 生态生态学在GBIFGBIF的基础上,我们可以语言 R语言 R语言世界气候 气候更多相关视频
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