Ideas in this flowchart

• Spatial relationships support the inference and estimation of difficult-to-observe variables.
• Spatial association uses easier-to-observe variables to infer more difficult-to-observe variables.
• Soil properties can be predicted from matching landscape positions and parent materials.
• Spatial autocorrelation assumes that nearby observations tend to be more similar than distant observations.
• The similarity of observations is related to their spatial proximity.
• Interpolation methods use spatial relationships to estimate values between sampled locations.
• Inverse distance weighting is an interpolation method.
• Kriging is an interpolation method.
• The methods produce estimated values between sampled locations.