Supplementary Data and Code supporting: "Visual versus visual-inertial guidance in hawks pursuing terrestrial targets" published in J. Roy. Soc. Interface. https://doi.org/10.1098/rsif.2023.0071.

This archive contains data and code supporting the paper "Visual versus visual-inertial guidance in hawks pursuing terrestrial targets" by Kempton et al. The MATLAB code and raw data needed to perform the analyses in the paper are contained in the zipped folder kemptonEtAl2023FigshareDeposit.zip, as described in the README.txt. The results of the model fitting are contained in the tables in the CSV files independentFitOptima.csv and globalFitOptima.csv, which contain the root mean square error associated with each of the fitted models for each flight, where the model parameters are fitted to each flight independently or to all flights globally.

本归档文件包含支撑Kempton等人所著论文《猛禽追击陆地目标的视觉制导与视觉-惯性制导对比》（Visual versus visual-inertial guidance in hawks pursuing terrestrial targets）的实验数据与代码。如README.txt文件所述，论文中开展分析所需的MATLAB代码与原始数据，均存放于压缩文件夹kemptonEtAl2023FigshareDeposit.zip内。模型拟合结果存储于independentFitOptima.csv与globalFitOptima.csv两个CSV文件的表格中，这两个文件记录了每次飞行对应各拟合模型的均方根误差（root mean square error），其中模型参数既可针对单次飞行独立拟合，也可针对全部飞行进行全局拟合。