Are the datapoints (34) for this Kriging operation sufficient?
Research Gate recommends > 30. [both -> here and here], while another source [-> here] mentions 30 to 50. All mention Webster and Oliver says at least 100. Another stack question agrees
The challenge is related to the spatial pattern of the dataset. The area is flat (~0-to-100-meters) at ~20*20-km [Cape Town. South Africa]
I can execute a Generalized Least Squares-Regression Kriging (GLS + Ordinary Kriging) and Universal Kriging and the empirical and fitted variogram (with a Matern model. [Exponential fits a straight line.]) below.
The result [-> here] looks more than okay but is it meaningful? Are these too few datapoints?