济南都市圈2000-2024年热环境昼夜分异特征及其土地利用耦合响应研究数据集及核心代码

1.概述 / Overview本数据集包含论文《济南都市圈2000-2024年热环境昼夜分异特征及其土地利用耦合响应研究》研究中使用的处理数据和分析脚本。This dataset contains the processed data and analysis scripts used in the study titled "Diurnal and Nocturnal Differentiation of Thermal Environment and Its Coupling Response to Land Use in Jinan Metropolitan Area from 2000 to 2024". 2. 文件结构与内容 / File Structure & Content上传的压缩包包含两个主要部分:分析脚本和核心结果数据。The uploaded archive includes two main components: Analysis Scripts and Core Result Data.分析脚本 (Scripts):_Data_Preprocessing.py: 基础地理空间数据的预处理脚本。(Pre-processing script for basic geospatial data.)_Data_Preprocessing_Summer_LST.py: 夏季地表温度 (LST) 数据的提取与处理。(Extraction and processing of summer Land Surface Temperature data.)_UHII_Calculation.py: 城市热岛强度 (UHII) 的核心计算代码。(Core calculation code for Urban Heat Island Intensity.)_Spatial_Hotspot_Analysis.py: 空间热点分析 (Getis-Ord Gi*) 脚本。(Script for Spatial Hotspot Analysis.)_Regression_Spatial_Analysis.py: 空间回归分析与驱动机制探究代码。(Code for spatial regression analysis and driving mechanism exploration.)核心结果数据 (Core Result Data):.UHII_结果: 城市热岛强度的栅格计算结果。(Raster results of UHII.).UHI-hotspot结果: 热岛热点分析的统计结果。(Statistical results of UHI hotspot analysis.).格网级统计数据: 用于回归分析的格网化统计数据 (CSV/Shapefile)。(Grid-level statistical data for regression analysis.).回归与空间自相关分析结果: 模型回归系数及空间自相关检验输出。(Model regression coefficients and spatial autocorrelation test outputs.) 3. 使用说明 / Usage Instructions环境依赖: Python 3.x, ArcPy (或 GDAL), GeoPandas, PySAL, Scipy。运行顺序: 建议按照文件名编号顺序运行脚本 (04 -> 05 -> 01 -> 03 -> 02)。数据引用: 如使用本数据,请引用关联论文 [待发表论文标题]。Dependencies: Python 3.x, ArcPy (or GDAL), GeoPandas, PySAL, Scipy.Execution Order: Please run scripts in numerical order (04 -> 05 -> 01 -> 03 -> 02).Citation: If you use this dataset, please cite the associated paper [Title of your paper]. 4. 关键词 / Keywords城市热岛; 济南都市圈; 地表温度; 空间分析; Python; 热点分析Urban Heat Island; Jinan Metropolitan Area; Land Surface Temperature; Spatial Analysis; Python; Hotspot Analysis