Urban Thermal Environment Indicators for Xining, a Plateau City

Spatiotemporal heterogeneity reveals the strongest urban heat island effects in summer and dominant topographic regulation in spring and winter for Xining. Shibin Ma integrated multi-source remote sensing data into a multidimensional indicator system to quantify nonlinear contributions and interaction pathways. The dataset, last updated in May 2026, is a 9.5 KB Excel file containing the indicators chosen for this study.

Use Cases

• Modeling seasonal shifts in urban heat island drivers based on population density, vegetation indices, and terrain parameters.
• Identifying nonlinear thresholds for cooling and warming effects based on NDVI and built-up intensity values.
• Analyzing interaction effects on urban thermal regulation, such as vegetation–impervious coupling and terrain–albedo mediation.
• Applying machine learning techniques like XGBoost and SHAP to quantify contributions of land cover, topography, and urban morphology.

Strengths

• Dataset is focused on a representative plateau city (Xining), providing a specific geographic case study.
• Indicator system is multidimensional, integrating land cover, topography, urban morphology, and atmospheric pollution.
• Analysis applied advanced methods including XGBoost, SHAP, and structural equation modeling.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare, authored by Shibin Ma.

Collection Method

Integrated multi-source remote sensing data.

Freshness

Last updated 2026-05-15 17:45:14; freshness should be verified.

Geography

Xining, a plateau city.