Rotated Load Matrix for Mineral Prediction in Jiguanzui Mining Area

Feilong Qin's 5.5 KB XLS file contains a rotated load matrix from a factor analysis of geochemical elements. The data underpins a novel FACA model designed for deep mineral prediction, applied to the Jiguanzui copper-gold mining area in China. The dataset was last updated on May 8, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Training anomaly detection models based on geochemical element combinations.
• Validating factor analysis methods for mineral resource prediction.
• Benchmarking new geospatial prediction algorithms against the described FACA model.
• Analyzing spatial correlations between geochemical anomalies and known ore bodies.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Directly supports a published methodological result for a specific mining area.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description is methodological; the actual data file's structure and content must be inferred.
• Geographic scope is limited to a single mining area in China.

Provenance

Source

Feilong Qin via figshare.

Collection Method

Likely derived from factor analysis (FA) of geochemical survey data.

Time Range

null

Freshness

Last updated 2026-05 08 17:30:22.

Geography

Jiguanzui copper-gold mining area, China.