The fractal scaling relationship for river inlets to lakes

The entry contains at the data and code used for the manuscript "The fractal scaling relationship for river inlets to lakes." The code runs in R and requires the packages 'AER' 'car' and 'boot'. The data in this archive is also on drop box and the code calls it from there. If you want to call the code from the Zenodo download you will have to change the load command. There are four data files. LakeShapes.csv contains the data on lake shape factor based on geological origin. The analysis of this data is reported in the supplemental materials. predictedobserved.csv contains the observed number of inlets and the number calculated directly from the scaling relationship with no free relationships. This is used to calculate the correlation between predicted and observed inlets. WRT-data.csv contains data used to evaluate the relationship between water residence time and lake area. The analysis is reported in the supplemental material. scaling_data.csv is the primary dataset in the study. It contains the area, perimeter and inlet data used to fit the scaling relationships.本数据集包含用于完成论文《湖泊入湖河流口的分形标度关系》的全部数据与代码。该代码基于R语言运行，需依赖'AER'、'car'与'boot'三款R扩展包。本存档中的数据同时上传至Dropbox，代码默认从该路径调用数据。若需使用从Zenodo下载的本数据集版本运行代码，则需修改数据加载命令。本数据集共包含4个数据文件：LakeShapes.csv存储基于地质成因的湖泊形状因子数据，相关分析结果见于论文补充材料；predictedobserved.csv存储实测入水口数量，以及直接通过标度关系计算得到的入水口数量（无额外自由参数），该数据用于计算预测值与实测入水口数量间的相关性；WRT-data.csv存储用于评估水体停留时间与湖泊面积间关系的数据，相关分析结果见于论文补充材料；scaling_data.csv为本研究的核心数据集，存储用于拟合标度关系的湖泊面积、岸线周长与入水口相关数据。