Abstract
Two classes of methods are presented for interpolating scattered data sampled in a spatial domain at different times. Instead of treating time as another Euclidean variable, time is treated as a special variable in our two approaches. These methods make use of scattered data interpolants over the spatial domain and univariate interpolants over the time domain. When compared with existing scattered data interpolation methods, the new methods are more effective.
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