Dataset for "Climatic and socioeconomic drivers of water use and their spatio-temporal patterns for small and mid-sized cities in the Contiguous United States"

This dataset contains all code for calibrating and analyzing machine learning models for "Climatic and socioeconomic drivers of water use and their spatio-temporal patterns for small and mid-sized cities in the Contiguous United States". Please unzip the folders and follow the instructions from 'README.txt'. Required python modulessklearn=1.2.2numpy=1.23.3xgboost=2.0.2joblib=1.2.0 Required R libraryshapFlex:devtools::install_github("nredell/shapFlex")library(shapFlex)本数据集包含用于校准与分析《美国本土中小城市水资源利用的气候与社会经济驱动因子及其时空格局》相关机器学习模型的全部代码。 请解压所有文件夹，并按照"README.txt"中的说明进行操作。 所需Python依赖包：sklearn=1.2.2、numpy=1.23.3、xgboost=2.0.2、joblib=1.2.0 所需R库：shapFlex，安装命令为devtools::install_github("nredell/shapFlex")，加载该库的命令为library(shapFlex)