Study on Ecosystem Service Values of Urban Green Space Systems in Suzhou City Based on the Extreme Gradient Boosting Geographically Weighted Regression Method: Spatiotemporal Changes, Driving Factors, and Influencing Mechanisms

Study on Ecosystem Service Values of Urban Green Space Systems in Suzhou City Based on the Extreme Gradient Boosting Geographically Weighted Regression Method: Spatiotemporal Changes, Driving Factors, and Influencing Mechanisms

Urban green space systems (UGSS) play a crucial role in enhancing citizens’ well-being and promoting sustainable urban development through their ecosystem service values (ESV). However, understanding the spatiotemporal changes, driving factors, and influencing mechanisms of ESV remains a critical ch...

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Bibliographic Details
Main Authors: Tailong Shi, Hao Xu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Land
Subjects:
urban green space system
ecosystem services value
inVEST model
XGBoost-GWR
Online Access:https://www.mdpi.com/2073-445X/14/3/564
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