Dataset for: Scale Effects of Green Space Configuration on Urban Carbon Sequestration at the Neighborhood Level in SIP, China

This dataset provides the comprehensive multi-scale analytical data supporting the study "Scale Effects of Green Space Configuration on Urban Carbon Sequestration at the Neighborhood Level." The dataset contains continuous spatial analysis data across 16 nested grid scales, ranging from 500 m to 2000 m (at 100 m intervals) in Suzhou Industrial Park, China. Variables Included: AGC: Aboveground Carbon Stock (Dependent variable, kg C/pixel) calculated via NDVI-based empirical models. Landscape Pattern Metrics: Includes LPI (Largest Patch Index), LSI (Landscape Shape Index), CONTAG (Contagion), SHDI (Shannon's Diversity Index), PD (Patch Density), and AI (Aggregation Index). Built Environment Variables: Includes Impervious Ratio, Water Ratio, Building Density, Road Density, Affiliated Green, Protective Green, and Park Green.本数据集为支撑研究《邻里尺度下绿地配置对城市固碳效应的尺度效应》提供了全面的多尺度分析数据。该数据集涵盖中国苏州工业园区内16种嵌套网格尺度的连续空间分析数据，尺度范围为500米至2000米（步长100米）。 包含的变量如下： 地上碳储量（Aboveground Carbon Stock, AGC）：为因变量，单位为千克碳每像素（kg C/pixel），通过基于归一化差异植被指数（Normalized Difference Vegetation Index, NDVI）的经验模型计算得到。 景观格局指数：包含最大斑块指数（Largest Patch Index, LPI）、景观形状指数（Landscape Shape Index, LSI）、蔓延度指数（Contagion, CONTAG）、香农多样性指数（Shannon's Diversity Index, SHDI）、斑块密度（Patch Density, PD）以及聚集度指数（Aggregation Index, AI）。 建成环境变量：包含不透水面占比、水体占比、建筑密度、道路密度、附属绿地、防护绿地以及公园绿地。