Nonlinear relationships between land surface temperature and influencing factors along the urban–rural gradient from a seasonal–diurnal perspective: A SHAP-based framework in the Gui'an region | Synapse
March 3, 2026
Nonlinear relationships between land surface temperature and influencing factors along the urban–rural gradient from a seasonal–diurnal perspective: A SHAP-based framework in the Gui'an region
Key Points
Land surface temperature shows significant nonlinear relationships with various influencing factors along the urban–rural gradient.
The analysis indicates varying influences depending on the season and time of day observed in the Gui'an region.
Using a SHAP-based framework, the study assesses how different factors impact temperature across different contexts.
The findings may enable better urban planning by understanding temperature variations, necessitating further research on these relationships.