Bivariate interpolation is the process of finding a surface representation based on values measured at 2D points. Its main applications include converting scattered points, profiles, or isolines into a raster format, computing a denser or smoother Triangulated Irregular Network (TIN), and resampling continuous-data rasters, such as elevation, to a higher resolution.
Conditions: Input values are measured at 2D points.; Output is a surface representation, raster, or denser/smoothed TIN.
Bivariate interpolation is the process of finding a surface representation based on values measured at 2D points. Its main applications include converting scattered points, profiles, or isolines into a raster format, computing a denser or smoother Triangulated Irregular Network (TIN), and resampling continuous-data rasters, such as elevation, to a higher resolution.
Conditions: Input values are measured at 2D points.; Output is a surface representation, raster, or denser/smoothed TIN.