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.

气候匹配允许比较不同地点之间的气候条件，以了解地点和物种范围的气候适宜性。该方法可以用作地平线扫描练习的一部分，例如针对入侵物种进行的那些练习。我们将 CLIMATCH 算法实现到 R 包climatchR中。该软件包允许在从下载数据到总结物种气候匹配的所有步骤中进行自动化和脚本化的气候匹配练习。我们还展示了climatchR如何可以与高通量计算一起使用来处理许多物种。例如，使用此软件包，我们能够在不到 3 天的时间内计算出 8,000 多个物种的气候分数。这种自动化允许对物种数据进行高通量处理，这是提高气候匹配和地平线扫描效率和速度的新发展。