Urban form plays a critical role in enhancing urban climate resilience amidst the challenges of escalating global climate change and recurrent high-temperature heatwaves. Therefore, it is crucial to study the correlation between urban spatial form factors and land surface temperature (LST). This study utilized Landsat 8 remote sensing data to estimate LST. Random forest nonlinear analysis was employed to investigate the interaction between the urban heat island (UHI) and six urban morphological factors: building density (BD), floor area ratio (FAR), building height (BH), fractional vegetation coverage (FVC), sky view factor (SVF), and impervious surface fraction (ISF), within the framework of local climate zones (LCZs). Key findings revealed that Xi’an exhibited a significant urban heat island effect, with over 10% of the study area experiencing temperatures exceeding 40 °C. Notably, the average LST of building-class LCZs (1-6) was 3.5 °C higher than that of land cover-class LCZs (A-C). Specifically, compact LCZs (1-3) had an average LST 3.02 °C higher than open LCZs (4-6). FVC contributed the most to the variation in LST, while FAR contributed the least. ISF and BD were found to have a positive impact on LST, while FVC and BH had a negative influence. Moreover, SVF was observed to positively influence LST in the compact classes (LCZ2-3) and open low-rise class (LCZ6). In the open mid-rise class (LCZ5), SVF and LST showed a U-shaped relationship. There is an inverted U-shaped relationship between FAR and LST, with the inflection point occurring at 1.5. The results of nonlinear analysis were beneficial in illustrating the complex relationships between LST and its driving factors. The study’s results highlight the effectiveness of utilizing LCZ as a detailed approach to explore the relationship between urban morphology and urban heat islands. Recommendations for enhancing urban climate resilience include strategies such as increasing vegetation coverage, regulating building heights, organizing buildings in compact LCZs in an “L” or “I” shape, and adopting an “O” or “C” configuration for buildings in open LCZs to aid planners in developing sustainable urban environments.

Heritage corridors play a pivotal role in preserving linear cultural heritage, especially in economically underdeveloped regions like the Yellow River area. These corridors not only serve as a primary method for safeguarding cultural heritage, but also act as catalysts for enhancing regional economic vitality. The widespread distribution of cultural heritage in the Yellow River region emphasizes the need for targeted protection and utilization at the regional level. To facilitate graded protection and the utilization of regional cultural heritage, this study introduces a method for constructing graded heritage corridors based on the comprehensive value of cultural heritage, thereby establishing a framework for comprehensive assessments. Through leveraging multi-source data, this study assesses cultural heritage’s comprehensive value by integrating the service capacity of heritage sites. Subsequently, this study constructs graded heritage corridors using the minimum cumulative resistance model. The findings reveal a concentrated distribution of cultural heritage in Shaanxi within the Yellow River region, where 19.8% of the sites in the economically and ecologically thriving southern regions were rated as high value (fourth or fifth grades). Finally, this study identifies distinct corridor themes by integrating regional cultural characteristics, thereby forming a cultural heritage region network that propels the overall protection and utilization in the area. The proposed cultural heritage assessment framework and corridor construction method are also applicable to various linear heritage types dispersed across diverse regions.