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I am currently using the gstat package to create variograms of oil and gas production in counties in West Virginia.

Here is the link to my dataset of SpatialPointsDataFrame and the code to produce a variogram is below

library(gstat)
library(rgdal)
prod_wv = readOGR(dsn = "~/variogram_wv", layer = "variogram_wv")
wv.vgm = variogram(log(BOE + 0.0001) ~ 1, data = prod_wv, 
               prod_wv2, cutoff = cf, width = cf/width_num)
wv.fit = fit.variogram(wv.vgm, vgm("Sph"))
plot(wv.vgm, wv.fit)

I would like to add a 95% confidence band to this variogram. Is there a function to do this? Is there another way to give an indication of precision?

user5425676
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    Please edit to give some code that generates a variogram - use random data or example data sets if possible. – Spacedman Jan 14 '17 at 14:22
  • Welcome to StackOverflow! Please read the info about [how to ask a good question](http://stackoverflow.com/help/how-to-ask) and how to give a [reproducible example](http://stackoverflow.com/questions/5963269). This will make it much easier for others to help you. – Axeman Jan 14 '17 at 14:28
  • Thank you for the suggestions! I've updated my question – user5425676 Jan 17 '17 at 17:31

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