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Hi. I just read through Journel and Rossi's 1999 paper, "When do we
need a trend model in Kriging". In the appendix they say "A kriging
variance is but a variogram-model dependent ranking of data
configurations; being data-value independent, it is generally not a
measure of local accuracy...This fact is unfortunately not yet fully
appreciated by some practitioners". Can someone explain the
implications of this in terms of determining cost-efficiency analysis
for sample designs? Specifically, can we use kriging variance estimates
across potential sampling grids, (from modeled variograms estimated from
say a pilot study) to estimate the variability associated with different
sampling densities/configurations. In addition, can someone provide
some references that address this topic.
- AI-GEOSTATS: kriging variance and accuracy Kerry Ritter
- Re: AI-GEOSTATS: kriging variance and accuracy Gustavo G. Pilger
- Re: AI-GEOSTATS: kriging variance and accuracy Edzer J. Pebesma
- Re: AI-GEOSTATS: kriging variance and accu... Kerry Ritter
- Re: AI-GEOSTATS: kriging variance and accu... Ashton Shortridge
- RE: AI-GEOSTATS: kriging variance and ... Pierre Goovaerts
- Re: AI-GEOSTATS: kriging variance and ... Edzer J Pebesma
- Re: AI-GEOSTATS: kriging variance and ... Yetta Jager
- AI-GEOSTATS: collocated cokriging abdellatif gountit
- Re: AI-GEOSTATS: kriging variance and accu... Mario Rossi
- Re: AI-GEOSTATS: kriging variance and ... Edzer J. Pebesma