Statistical Analysis of Elements for Mineral Prediction in Jiguanzui Mining Area

A FACA model designed for deep mineral prediction integrates factor analysis and concentration-area methods. The dataset likely contains geochemical element measurements from the Jiguanzui copper-gold mining area in China. Author Feilong Qin published the data on figshare in May 2026.

Use Cases

• Predicting blind ore bodies based on geochemical anomaly thresholds
• Identifying element combination anomalies using factor analysis
• Testing geochemical anomaly extraction models like concentration-area
• Mapping element spatial distributions for mineral resource assessment

Strengths

• Dataset is associated with a specific case study in the Jiguanzui mining area
• Model validation described includes consistency with actual ore body distribution
• File size is 5.5 KB, indicating a focused and manageable dataset

Limitations

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

Provenance

Source

figshare

Collection Method

Data likely gathered from geochemical surveys in the Jiguanzui mining area.

Freshness

Last updated 2026-05-08 17:30:16; freshness should be verified

Geography

Jiguanzui copper-gold mining area in China