To determine the best interpolation technique, use exploratory spatial data analysis tools. For example, based on the result of trend analysis, you may want to use the local polynomial deterministic interpolation method to remove large-scale variation from the data before using one of the kriging models.
As a rule, deterministic interpolation techniques (inverse distance weighted, radial basis functions, and local polynomial interpolation) should not be used for decision making, because they do not provide information on how good their predictions are. Geostatistical interpolation techniques (e.g., kriging) can be chosen based on the result of exploratory spatial data analysis and diagnostics (cross validation and validation).