吞吐量
匹配(统计)
R包
航程(航空)
计算机科学
气候变化
上传
过程(计算)
自动化
环境科学
生态学
数据挖掘
生物
计算科学
工程类
统计
数学
机械工程
电信
无线
航空航天工程
操作系统
作者
Richard A. Erickson,Peder Engelstad,Catherine S. Jarnevich,Helen R. Sofaer,Wesley M. Daniel
标识
DOI:10.1016/j.envsoft.2022.105510
摘要
Climate matching allows comparisons of climatic conditions between different locations to understand location and species range climatic suitability. The approach may be used as part of horizon scanning exercises such as those conducted for invasive species. We implemented the CLIMATCH algorithm into an R package, climatchR. The package allows automated and scripted climate matching exercises across all steps from downloading data to summarizing species climate matches. We also show how climatchR may be used with high-throughput computing to process many species. For example, we were able to calculate climate scores for over 8,000 species in less than 3 days using this package. This automation allows high-throughput processing of species data, a new development for improving the efficiency and speed of climate matching and horizon scanning.
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