Dear list,

 

I have a dataset from Ethiopia with a good correlation between infiltration
depth and slope (r=0.75). Therefore, I would like to use KED (with slope as
secondary variable) to interpolate the infiltration observations.

However, my main problem is the limited amount of observations (n=43). This
gives problems for the directional variogram calculation and for the use of
an interpolation window. I would like to consider the direction where the
drift is not present as underlying variogram, but with the very limited
amount of observations this is not straightforward. 

 

My questions are the following:

-          Is there an alternative interpolation technique for my approach
given the small number of observations, if possible making use of the slope
information as secondary variable?

-          Because of the strong non-stationarity of the dataset I want to
use a local interpolation window. But when I set a distance value I receive
an error message ("lufactor.c", line 207: singular matrix in function
m_inverse()). Is there a way to solve this problem? 

 

Thank you for your answer!

 

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Els Verfaillie

Ghent University (UGent) - Department of Geography

Belgium

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