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(2) Determining the most appropriate interpolation scheme.
The most appropriate interpolation method was selected based on mean absolute error (MAE) and mean bias error (MBE) indices.
Zehtabian et al. (2013) carried out a study to find the most appropriate interpolation techniques to assess the spatial relationship of groundwater quality parameters (EC, TDS and TH) in Garmsar, Iran.
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Table 6 shows fitted models and the most appropriate methods of interpolation.
In addition, spatial correlation analysis was applied for each variable to select the most appropriate method of interpolation.
Through this approach, both mesh conformity and kinematic variable interpolation may be selected independently within each mechanical body, allowing for the selection of grid size and interpolation most appropriate for the underlying physics.
As earlier discussed, kriging interpolation is the most appropriate method when you are dealing with irregular and unevenly sampled data.
Wherever it is used, the fitted model needs to be checked for quality of fit before being applied to interpolation, and the most appropriate variant selected.
The population size at other months can be obtained through interpolating with an appropriate interpolation function like a exp bt).
Index interpolation performs subsequence matching by selecting the most appropriate one from multiple indexes built on windows of their distinct sizes.
These four widely used interpolation methods (IDW, RBF, OK and UK) have led to the question about which is most appropriate in predicting groundwater depth.
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