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- spatial interpolation using Kriging
- spatial interpolation using Inverse Distance Weighting
- spatial interpolation using bi-linear interpolation
- Averaging of grid cells within a sub-basin boundary
- Averaging of grid cells within a sub-basin boundary using XML data
- spatial interpolation using clossest distance
- input average times output Area
- renk a Renka-Cline Triangulation
- Sum of grid cells within a sub-basin boundary.
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Specify if spatial interpolation is used for filling gaps in series or for generating a new series. Note in the latter case the output variable will need to be defined. This also defines if the output variable is a grid time series or a scalar time series Enumeration of . The available options is;are:
- seriesfilling ; : for filling gaps in time series (scalar time series only). Use this option if you can not be certain there will be no missing values (gaps) in the interpolation data.
- seriesgeneration: for creating a new time series. Use this option only if you are certain the interpolation data have no gaps, as the support points on which the interpolation is based is determined only once, for efficiency.
valueOption
Option to determine how input values are used. Enumeration of available options is;
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