It seems that
Clough-Tocher are quite coherent in respect to each other.
Out of curiosity, I tried interpolating a small, random dataset with both algorithms, also opting for the creation of the underlying triangulation networks:
As expected, there is only a very limited difference:
With a larger dataset of 10.000 random points, differences surface (pun intended).
- the underpinning TIN is identical, while
- the single faces are interpolated differently
Also, I find the histograms interesting:
Clough-Tocher interpolation histogram:
Linear interpolation histogram:
However, if we create a difference layer between the two interpolated rasters, and sample it with the original 10k vector points, we see that on average the two interpolation methods do not differ at vertexes/original points, which shows both behave "well":