Hello Geostatters,
I have various monitoring sites in an area. Before determining whether the
DATA is clustered or not, I would like to know if the sample locations (x,y)
are clustered (otherwise whats the point if detecting clusting in your data?!).
I understand that I should be able to tell by
Dear List,
Is anyone aware the reference (paper, book, web page, etc ...) that
discussing the similarity (or relationship) of Wiener Filter and Kriging ?.
Thank you,
Ipung Yuwono
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Hi All
Re the interpretation of indicator semi variograms and probabilities,
consider the following:
2Gamma(h) = E{(I(x)-I(x+h)^2} where I(x) is stationary.
If we examine ALL possible pairs of I(x) and Ix+h) in the above equation,
we get 4 possibilities:
1. I(x) = 0 and I(x+h) = 0.
2. I(x) = 1 a
Hi Koen,
The sill of bounded semivariograms is generally close to the
sample variance. For your indicator variables, the variance will
be p(1-p) where p is the proportion of 1's for example.
Thus, the maximum sill you should observe in theory is
0.25 for a threshold equal to the median of the dist
As a lot of people suggested to evaluate my higly skewed data, I calculated the
indicator semivariograms for cutoff levels between 0 and 2.
highly skewed data -> http://users.pandora.be/requested/images/histtot.gif
data plots -> http://users.pandora.be/requested/images/allplots.gif
detail of a
Title: Message
Good day everyone!
Time is ripe for a new SIC (Spatial
Interpolation Comparison) exercise !
The second edition of SIC (SIC2004) will be
launched by the end of this month. The topic of this year will be "automatic
mapping", that is the use of algorithms for spatial interpola
On Tue, 13 Apr 2004, Mark Coleman wrote:
> Greetings,
>
> I am an econometrician new to the field of spatial statistics. Can
> someone point me to a survey article that compares different ways to
> construct contiguity matrices?
>
There are some suggestions in:
http://sal.agecon.uiuc.edu/cs
