Global net energy impact of pavement albedo hinges on building and vehicle cooling-heating demands

# Global net energy impact of pavement albedo hinges on building and vehicle cooling-heating demands This repository contains the codes and intermediate data for this study. The codes include both Python and MATLAB scripts. The .m files have been tested on MATLAB R2022a, while the Python .ipynb files are designed to run in Jupyter Notebook. The following mainly introduces the Python environment configuration. Detailed algorithm procedures, input specifications, and output descriptions can be found in the document guideline.pdf.Each code file in this repository can be run independently, as we have provided the corresponding input files in the ./data directory. Due to their large file sizes, some data files under ./data need to be downloaded separately, uncompressed, and then placed into the ./data folder. ## Repository Structure The repository is organized into the following directories and files: - **data/**: Contains the intermediate data and part of the raw data used in the study.- **figure/**: Stores the figures can be recreated using the scripts in the repository.- **codes/**: Contains all the scripts. # Dependency Installation Guide Follow these steps to install the dependencies for this GitHub repository: ## Installation 1. **Clone the Repository**: ```bash git clone https://github.com/XX/Codes_pavement_albedo.git cd Codes_pavement_albedo 2. **Install Dependencies**: ```bash conda create -n Codes_pavement_albedo_test python=3.10.18 -y activate Codes_pavement_albedo_test pip install -r requirements.txt (This script assumes path handling based on Jupyter Notebook. For Jupyter Notebook usage, deploy the environment as described below. Otherwise, adapt the input/output paths to your specific environment.) pip install ipykernel python -m ipykernel install --user --name Codes_pavement_albedo_test --display-name "Codes_pavement_albedo_test" ## Codes in Python have been tested on ### Python Versions- **Python 3.10.18** ### Operating Systems- **Windows 11** ### Specific Package Versions- **frykit 0.7.5.post1**- **frykit_data 0.0.1**- **geopandas 1.1.3**- **requests 2.33.1**- **rasterio 1.4.4**- **scipy 1.15.3**- **seaborn 0.13.2**- **xlrd 2.0.2**- **scikit-learn 1.7.2**- **rtree 1.4.1**- **tqdm 4.67.3**- **shap 0.49.1**