I'm trying to find the best interpolation method for a project I'm working on. I've tried the basic settings with spline, IDW & kriging and they all appear ok at first glance, but when I look more closely they don't follow the points exactly like they should. For example, I will have a point or cluster of points with a value of 59, and a neighboring point or cluster of points with a value of 60. When I adjust the symbology to 59.5 I would think the line would be drawn evenly between the two points or clusters of points every time. In some cases the line is drawn between the two, but in other cases it is not. The resulting map is "generally" correct, but with a lot of little errors here and there. I'm not real familiar with how interpolation works exactly, and I want to know if one of the methods would be more accurate or have less errors for the particular project I'm working on. I will have 20,000+ points over an area the size of Florida (if that even matters).
Asked
Active
Viewed 27 times
2
-
Can you precise what phenomenon you are studying? If you have the uncertainty/accuracy of your data, you will prefere kriging with nuggets or you may wanna try Least square collocation (with measurements noise) – Hulecom Nov 19 '19 at 15:41
-
Air temperature. 20,000 data temperature points over an area of 65,000sq mi. – Mike Nov 19 '19 at 20:57