What's the best way to calculate "height" (snowfall, actually) data from three surrounding locations?
For this example, I'm looking to arrive at a "close enough" snowfall value at point A by evaluating data from 3 (or more) other points that are X, Y and Z distance away. Here's a sample of data that would apply:
Point 1 Distance (Miles) Value (inches) X 17 15.1 Y 21 4.3 Z 31 13.8
As these points are a non-directional angled distance from point (direction of points from point A are not known) and we cannot assume they're in a straight line OR that they actually surround point A, what method should be used to determine a "most likely" value at point A?
As a side note, we do know the Lat/Lng of both point A and each of the points in the data set. Again, EXACT information is not necessary and I'm contemplating just using the first point. However, data inconsistencies exist and the closest point may be 0 at times and distance may vary quite a bit (i.e. may be much farther away than 31 miles).
As more feedback, going through the effort of describing a plane through three points may be overkill for this exercise.