Fitting 3D Curves from a Series of Spatial Points

Fitting 3D curves from spatial coordinate points using spline interpolation, with outputs including segmented spline curves and n equidistant division points along the curve path.

Highly Recommended Surface Fitting Tool for Experimental Data Processing

For researchers working with experimental data processing, MATLAB surface fitting functions are strongly recommended. These functions excel at spatial point-based surface fitting, providing better alternatives to MATLAB's griddata interpolation which often delivers suboptimal results for scattered data points. While B-spline fitting is another option, its implementation requires careful selection of extrapolation points - a challenging task for average MATLAB users - and poses additional difficulties in handling non-gridded data transformations.