Lets say that I would like to predict or forecast the elevation of a certain coordinate on a map. What I have is the data of random points in, lets say, 50km radius from the point I would like to predict (or forecast) the elevation for. Lets say it is all located in a CSV file, and headers for variables are:
Longitude(decimal), Latitude(decimal), Elevation(meters)
Which algorithm or a chain of algorithms would give the best results finding the unknown elevation when Longitude and a Latitude are known?
EDIT: The one I am aware of is http://cs.stanford.edu/people/karpathy/convnetjs/ I believe there could be a better approach.