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.