[Numpy-discussion] effectively computing variograms with numpy
Hanno Klemm
klemm@phys.ethz...
Fri Jun 22 08:29:56 CDT 2007
Hi,
I have an array which represents regularly spaced spatial data. I now
would like to compute the (semi-)variogram, i.e.
gamma(h) = 1/N(h) \sum_{i,j\in N(h)} (z_i - z_j)**2,
where h is the (approximate) spatial difference between the
measurements z_i, and z_j, and N(h) is the number of measurements with
distance h.
However, I only want to calculate the thing along the rows and
columns. The naive approach involves two for loops and a lot of
searching, which becomes painfully slow on large data sets. Are there
better implementations around in numpy/scipy or does anyone have a
good idea of how to do that more efficient? I looked around a bit but
couldn't find anything.
Hanno
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