Correlation Analysis of Loess Compressibility and Soil Properties

Statistical results analyze correlations between loess compression coefficients and soil properties. The dataset, 9.5 KB in size, was authored by Zhiqi Liu and focuses on study areas in Huocheng and Xinyuan counties, Xinjiang. It was last updated in March 2026.

Use Cases

• Analyze correlations between loess compression coefficient and specific soil properties like compressibility modulus
• Evaluate model performance metrics such as error metrics priority from Random Forest or MLP models
• Study the engineering classification of loess based on mechanical parameters and compressibility parameters
• Assess the significance of correlations (e.g., significantly positively correlated, negatively correlated) between core input indicators

Strengths

• Dataset is licensed under the permissive CC BY 4.0 license, enabling broad reuse
• Focus on specific geographical areas: Huocheng and Xinyuan counties in Xinjiang
• Includes results from multiple analytical models (Random Forest, MLP, CART, SVM) for comparison

Limitations

• Very small dataset size of only 9.5 KB, indicating limited scope and likely a small number of observations
• Column structure and sample data are unknown, complicating direct analysis without inspection
• Data is static and focused on a specific correlation study, limiting generalizability to other regions or soil types

Provenance

Source

Zhiqi Liu via figshare

Collection Method

Statistical results from correlation analysis, likely derived from soil property measurements and model outputs.

Freshness

Last updated March 2026, indicating it is a forward-dated or planned update.

Geography

Huocheng and Xinyuan counties, Xinjiang, China