Hi everyone,
this is my very first post on this mailing-list. I need to produce a
map of soil salinity space variability. I have chosen to compare the
estimation of OK, Regression Kriging and Indicator Kriging reliability
on my data-set. I know that kriging variance depends only on the
geometrical
Jamina
Different software packages have different requirements for defining
anisotropy. Some will allow you to define completely a model for each major
axis of the anisotropy ellipse. The simplest (geometric anisotropy) just accept
anisotropy 'factors' for the range of influence.
In
On Monday 14 January 2008, G. Allegri wrote:
Hi everyone,
this is my very first post on this mailing-list. I need to produce a
map of soil salinity space variability. I have chosen to compare the
estimation of OK, Regression Kriging and Indicator Kriging reliability
on my data-set. I know
Hi
Well, in general the simulations are useful if you need to evaluate
spatial uncertainty, for
example if you have to apply some transfer function to your data or the need
to evaluate the probability that some neighbor cells overcome
jointly a given threshold.
Then kriging variance is
Dear Mrs. Clark,
As you have mentioned,anisotropy is an important aspect in modeling.
For me one question always,is: although,we have usually rather strong
structures in vertical direction, the horizontal direction is very much vague
and with changing every graphical parameters or search
Thank you very much for the replies. I've found the papers suggested
by Mahmut very useful, as I'm asked to find a method to spatialize
soil salinity measures (Ece and SAR) to investigate/forecast the
salinity risk in coastal areas under saline waters irrigation
(temporal changes will be
The general method is to try to apply the same sort of shape in each direction,
changing the range of influence for the different directions.
Have you tried looking at semi-variogram maps. These can often help with
anisotropy when individual directional semi-variograms are vague.
