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
On 6/22/07, Hanno Klemm [EMAIL PROTECTED] wrote:
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
OK, generally in code like this I leave the outer loops alone and try to
vectorize just the inner loop.I have some ideas in this direction, but
first, there seems to be some problems with the code at well. The code looks
like it is written to take non-square 'data' arrays. However,
for i
Hello,
I have just tried using alter_code1 on a code tree, and it appears to ignore
from Numeric import *
statements (does not change them to from numpy.oldnumeric import *). I
looked at the alter_code1.py and it says that the script should warn about
importing *. Although the script may not
Hello all,
My challenge is this:
I'm working on an application that parses numerical data from a text
report using regular expressions, and then places the results in Numpy
matrices for processing. The data contains integers, floats, and
boolean values. The boolean values are represented in the
