Didrik,
thanks, I'll definitely will have a look at this.
Hanno
Didrik Pinte <[EMAIL PROTECTED]> said:
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> On Mon, 2007-06-25 at 23:09 +0200, Hanno Klemm wrote:
> > I will try and dig a bit
On Mon, 2007-06-25 at 23:09 +0200, Hanno Klemm wrote:
> I will try and dig a bit more in the literature, maybe I find something.
>
> Hanno
I don't know if it can help. We started a project to convert BMELib (a
matlab library) into Python. It's still bound with Numeric but it should
be pretty stra
I will try and dig a bit more in the literature, maybe I find something.
Hanno
On Jun 25, 2007, at 4:59 PM, Timothy Hochberg wrote:
>
>
>
> On 6/25/07, Hanno Klemm < [EMAIL PROTECTED]> wrote:
>> Tim,
>>
>> Thank you very much, the code does what's it expected to do.
>> Unfortunately the thing
On 6/25/07, Hanno Klemm <[EMAIL PROTECTED]> wrote:
Tim,
Thank you very much, the code does what's it expected to do.
Unfortunately the thing is still pretty slow on large data sets.
This does seem like the kind of thing that there should be a faster way to
compute, particularly since you ar
Tim,
Thank you very much, the code does what's it expected to do.
Unfortunately the thing is still pretty slow on large data sets. I
will probably now look for ways to calculate the variogram from some
random samples of my data. Thanks for the observation regarding the
square array, that would ha
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 in
Tim,
this is the best I could come up with until now:
import numpy as N
def naive_variogram(data, binsize=100., stepsize=5.):
"""calculates variograms along the rows and columns of the given
array which is supposed to contain equally spaced data with
stepsize stepsize"""
# how
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
measu
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 measur
