Correlation Matrices of Geochemical Elements for Mineral Prediction

Feilong Qin's 5.5 KB Excel file contains correlation coefficient matrices for geochemical elements, used to design a mineral prediction model. The data underpins a Factor Analysis and Concentration-Area (FACA) model 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 mineral prediction models based on factor analysis of element combinations.
• Identifying geochemical anomaly thresholds based on element correlation matrices.
• Validating spatial distribution models of ore bodies based on comprehensive element anomaly data.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• The underlying FACA model was validated against actual ore body distributions in the Jiguanzui mining area.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The description focuses on the methodology and results, with limited metadata about the data structure itself.

Provenance

Source

Feilong Qin via figshare.

Collection Method

Derived from geochemical survey data, processed using Factor Analysis (FA) and Concentration-Area (C-A) modeling.

Time Range

null

Freshness

Last updated 2026-05 08 17:30:19; freshness should be verified.

Geography

Jiguanzui copper-gold mining area, China.