Shaanxi Province Carbon Emissions with Nighttime Light Data 2000-2022

Carbon emission data for Shaanxi Province covers a 23-year period from 2000 to 2022. The dataset, created by Weiqin Zhu, serves as an empirical foundation for model training and analyzes spatiotemporal evolution patterns across cities. It was last updated in March 2026.

Use Cases

• Train the xLSTM-Informer framework for carbon emission prediction using the 23-year time series.
• Analyze spatiotemporal evolution patterns, including growth and stabilization phases, across Shaanxi cities.
• Identify inter-city spillover effects and emission centroid migration using gravity model and spatial correlation analyses.
• Correlate carbon emission trends with nighttime light data (NTL) for proxy validation or feature engineering.

Strengths

• Data spans a 23-year time range from 2000 to 2022.
• Integrates with external nighttime light data for enhanced analysis.
• Explicitly used for model training, achieving superior prediction accuracy in the cited study.

Limitations

• The dataset is very small at 9.0 KB, indicating limited scope or aggregation.
• The specific number of records (rows) and measured variables (columns) is unknown.
• Geographic coverage is limited to a single Chinese province.

Provenance

Source

Weiqin Zhu via figshare.

Collection Method

Original collection method unspecified; analysis combines carbon emission data with nighttime light data.

Time Range

2000 to 2022

Freshness

Data current through 2022, with metadata last updated in March 2026.

Geography

Shaanxi Province, China, with analysis at the city level.