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Hi. I am using library "gstat" in R. My question is why do I get different SSErr's when I fit the variogram model using fit.variogram than when I fix the parameters in fit.variogram using the exact same...
Hi all. I have what I hope is a quick question concerning the use of "fit.variogram" in"gstat". If you assume a a Spherical model for the variogram and the estimated range is say 200m and then you switch...
Hi All. I am applying both a log10 transformation as well as arcsine(sqrt) to my data to make the data more consistent with normality. I believe these are both members of the box-cox family. I would like to...
Hi. I was wondering which model you would tend to choose given similar cross validation results. 1. An isotropic model with linear trend 2. An anisotropic model Assume linear trend is ~x + y + I(x*y), where x,y are...
Hi. I am using the library "geoR" and am having trouble getting REML estimates for the range and different from those specified in the intial values. My statement is.... reml.fit=likfit(SDmatchC.geo, ini=c(100,2020), fix.nugget...
HI I am looking for a goodness of fit measure in the case of an anisotropic variogram model fit in 4 directions. I want to be able to compare between different fitting algorithms, so a measure that is independent of...
I don't know much about "autofitVariogram" fuction in the "automap" package but I am pretty familiar with the "fit.variogram" function in the "gstat". One possibility for getting different parameter estimates is that the two methods are using two...
I have a follow up question regarding the range parameter specified for the gaussian variogram model in gstat.. First, thank you to Jaime Grion who riplied... Dear Kerry, if you write in the option model "Gau" you just have to...
Hi I want to compute the kriging variance as a function of grid spacing so that I can measure cost vs. kriging variance in deciding on an appropriate grid spacing for an ocean sediment surrounding an outfall. From an earlier...
Thank you for your perspective. I should state that I intend to use the variogram model, not for prediction, but for understanding the spatial variability. My end goal is to create the best sample spacing for a new design based...
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