Performance Metrics for IDW and Ordinary Kriging Models on Soil Attributes

9.5 KB of model performance data for Inverse Distance Weighting and Ordinary Kriging interpolation methods applied to soil attributes. The dataset, authored by Gustavo Vieira Veloso and last updated in May 2026, contains evaluation metrics including R², RMSE, MAE, and their null model ratios. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare the accuracy of Inverse Distance Weighting and Ordinary Kriging based on R², RMSE, and MAE metrics.
• Benchmark interpolation model performance against null models using RMSE_NULL/MAE_NULL ratios.
• Select an appropriate spatial interpolation method for soil attribute mapping.

Strengths

• Provides a direct comparison of two common geospatial interpolation methods.
• Includes multiple validation metrics (R², RMSE, MAE) and their null model ratios for robust evaluation.
• Shared under a permissive CC-BY-4.0 license allowing for reuse and redistribution.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely contains calculated performance metrics from a geospatial modeling study.

Freshness

Last updated 2026-05-11 17:52:09; freshness should be verified.