Kriging - trends and error statistics

Discussion created by rhienne on May 9, 2012
Latest reply on May 9, 2012 by EKrause-esristaff

I just had a couple of questions about some of the steps used in kriging in ArcGIS geostatistical analyst.

Firstly, I am working with data that I know has a trend first order trend, so I have chosen to remove this trend.  What are the differences between neighbourhood and global trend removal, and what should I be aiming for when setting the % of each?  Minimising my error?  I am also not sure whether I should use the anisotropy option if I am already removing the trend - my understanding was this was to account for trends in data?

Secondly, I was wondering if someone could explain the error statistics to me in a simple way (I have relatively little knowledge of statistics).  I understand that I want to minimse the mean error, standard error, and rms, and that the rms should be similar to the standard error, but I???m not sure which of these are most useful for communicating the accuracy of my resulting data.  I???m slightly confused as on some datasets I seem to get very low mean error but the other values seem quite high.  Does this mean that high errors in both directions are effectively cancelling each other out when the mean is taken?