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Input time series set. Note that when the interpolation module is used to fill gaps in time series the input time series set is the same as the output time series set. The time series sets may include either a single location or a locationSet. Note that the latter may not always be possible when using the "default" interpolation option, as the default may be location specific. With spatial interpolation it is possible to interpolate from a grid to a longitudinal profile.
outputSet
Output time series set. Note that when the interpolation module is used to fill gaps in time series the input time series set is the same as the output time series set. Identification is only required when the series generation option is used in spatial interpolation. The locations defined in this timeSeriesSet, and their geographical attributes, determine the locations of the series generated.
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- inversedistance ; for inverse distance weighted interpolation between available values at spatially distributed locations.
- bilinear ; for bilinear interpolation between available values at spatially distributed locations.
- kriging ; for interpolation using Kriging between available values at spatially distributed locations.
- gridcellavaraging; for interpolation of time series based on averaging grid cells (used for example for establishing catchment averages where the catchment size is much larger than the grid cell size).
- Closest distance; for interpolation of time series based on the closest distance between available values at spatially distributed locations. An extra option is to interpolate from a grid to a longitudinal profile.
interpolationType
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 available options is;
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