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.