Mitigating urban heat island through neighboring rural land cover: Dataset

A dataset of the manuscript "Mitigating urban heat island through neighboring rural land cover". Includes: Land surface temperature acquisition code (Google Earth Engine) - Average_LST_GEE.sh; Codes for calculating urban development intensity - UrbanDevelopmentIntensity.py; Regression, Machine Learning, Interpretable Machine Learning Code - AllRegression.py, SHAP.py, ALE.py; a zip file containing the data used in the calculations - OperationalData.rar.本数据集对应研究手稿《依托邻域乡村土地覆盖缓解城市热岛效应》（Mitigating urban heat island through neighboring rural land cover），包含以下内容：1. 基于Google Earth Engine（谷歌地球引擎）的地表温度获取代码：Average_LST_GEE.sh；2. 城市开发强度计算代码：UrbanDevelopmentIntensity.py；3. 回归分析、机器学习与可解释机器学习代码：AllRegression.py、SHAP.py、ALE.py；4. 存储计算所用全部数据的压缩包：OperationalData.rar。