Covariate selection with iterative principal component analysis for predicting physical soil properties

Keyphrases

• Absolute Variation 33%
• Auxiliary Data 33%
• Conditioned Latin Hypercube 33%
• Continuous Covariate 33%
• Covariate Selection 100%
• Digital Soil Mapping 66%
• High-resolution Remote Sensing 33%
• Improved Land Management 33%
• Loss-on-ignition 33%
• Munsell Color 33%
• Normalized Mean Square Error 33%
• Ordinary Regression 33%
• Regression Kriging 66%
• Soil Property Variability 33%
• Spatial Prediction 33%

Agricultural and Biological Sciences

• Ecosystem Model 25%
• Geostatistics 25%
• Groundwater Model 25%
• Kriging 100%
• Land Management 25%
• Principal Component Analysis 100%
• Remote Sensing 25%
• Silt 25%
• Soil Horizon 25%
• Soil Physical Properties 100%
• Soil Property 100%
• Soil Survey 50%

Earth and Planetary Sciences

• Digital Soil Mapping 50%
• Soil Physical Property 100%