Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods

Data and R Scripts for the manuscript titled "Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods". Code is for labelling accelerometer data and running a random forest model.Script01. Label the accelerometer data with behavioural labels from BORISScript02. Create summary metrics and resample frequencies. This includes code adapted from (Clark, 2019; Clark et al., 2022). https://ore.exeter.ac.uk/repository/handle/10871/120152, https://www.int-res.com/abstracts/meps/v701/p145-157/Script03. Run random forest for each frequency and smoothing window. AccelerometerData.zip containes Files grouped by individual. For each individual there is: Accelerometer_data: Accelerometer data. ID: BORIS behaviour output ID_labs: Labelled accelerometer data本数据集为学术手稿《基于加速度计（accelerometer）读数的非洲地穿山甲行为分类：生物记录（bio-logging）方法验证》配套的数据与R语言脚本。 本代码用于标注加速度计数据并运行随机森林模型，具体包含以下三个脚本： Script01：基于BORIS软件的行为标注结果对加速度计数据添加行为标签； Script02：生成汇总统计量并进行频率重采样，其中部分代码改编自Clark等(2019; Clark et al., 2022)的研究成果，相关文献链接为：https://ore.exeter.ac.uk/repository/handle/10871/120152、https://www.int-res.com/abstracts/meps/v701/p145-157/； Script03：针对不同采样频率与平滑窗口运行随机森林模型。 压缩包AccelerometerData.zip内的文件按个体分组，每个个体对应以下文件： Accelerometer_data：加速度计原始数据； ID：BORIS软件导出的行为标注结果； ID_labs：已添加行为标签的加速度计数据。