Abstract Dendrometers are vital tools for studying the response of trees to intra-annual environmental changes in different temporal resolutions, ranging from hourly, daily to weekly time resolution. Dendrometers are increasingly used in forest management and tree physiological studies. Besides the data analysis, data processing is also challenging, time-consuming and potentially error-prone due to the immense number of measurements generated by self-registering electronic dendrometers. We present the package ‘dendRoAnalyst’ based on R statistical software to process and analyse dendrometer data using various approaches. This package offers algorithms for handling and pre-cleaning of dendrometer data before the application of subsequent data analytical steps. This includes identifying and erasing artefacts in dendrometer datasets not related to actual stem circumference change, identifying data gaps within records, and the possibility of change(s) in temporal resolution. Furthermore, the package can calculate different daily statistics of dendrometer data, including the daily amplitude of tree growth. The package dendRoAnalyst is therefore intended to facilitate researchers with a collection of functions for handling and analysing dendrometer data.

中文翻译：

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“dendRoAnalyst”：处理和分析测树仪数据的工具

摘要 测树仪是研究树木对不同时间分辨率（从每小时、每天到每周的时间分辨率）对年内环境变化的响应的重要工具。测树仪越来越多地用于森林管理和树木生理研究。除了数据分析之外，由于自注册电子树状计产生的大量测量结果，数据处理也具有挑战性、耗时且容易出错。我们提出了基于 R 统计软件的包“dendRoAnalyst”，以使用各种方法处理和分析树状仪数据。该软件包提供了在应用后续数据分析步骤之前处理和预清理测树仪数据的算法。这包括识别和擦除与实际茎周变化无关的树状仪数据集中的人工制品，识别记录中的数据差距，以及时间分辨率变化的可能性。此外，该软件包可以计算不同的树状计数据的每日统计数据，包括树木生长的每日幅度。因此，dendRoAnalyst 包旨在为研究人员提供一系列用于处理和分析测树仪数据的功能。