I have 12 point measurements of noise (decibels) that I need to interpolate over a 100 sq. km area. Are there any interpolation methods that are well suited for small sample sizes? Based on some earlier posts to this forum, I saw a suggestion for Kernel Interpolation with Barriers and just don't supply a barrier and IDW. What about Empirical Bayesian Kriging, or should I eliminate any kind of kriging as a possibility due to the small sample size? What about machine learning techniques?
Thanks in advance for any suggestions