Hello,
I'm exploring some methods to perform spatially constrained interpolation.
The real case is the calculation of a temperature grid from stations data,
where I want to control mutual effetcs of neighborhoods (eg in IDW), for
example when two stations are located in two valleys and a ridge divide
them. In such case I want the points on the two sides of the ridge to be
influenced only by the respective stations.

A straightforward way to manage this contraints would be to use a cost
distance instead of an euclidean distance, but this requires that whatever
distance based algorithm one select it could manage this cost surface
rather then calculating distances based on geographical locations.

I haven't found ready to use solutions to this requirement. Could you
indicate me some options?

Thanks,
Giovanni

	[[alternative HTML version deleted]]

