Just an addition to the question I have asked before:
one easy way would be to fit:
- a global constant (to account for the average of the points of the
matrix);
- a plane to account for linear terms (in the example below, it should be a
plane with both negative partial derivatives with respect "
Hello,
I am new in this list. I have a problem and I think that the solution to
this problem can be found using spatial statistics, but I do not know how.
My problem is the following: I have a matrix of data, of around 6 rows and 5
columns. In reality, I have a time series, where at each point i
