Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 16685

A group of geostatistical techniques to interpolate the value of a random field at an unobserved location from observations of its value at nearby locations.

8 votes
3 answers
2k views

Backtransformation of kriging predictions and variances

This example using the "meuse" data shows how to make variogram and use it to get kriging predictions (and variances) using the popular 'gstat' package of R. … meuse.grid) m <- vgm(0.59,"Sph", 897, 0.05) plot(v$dist, v$gamma, ylim=c(0,0.75), xlim=c(0,1600), xaxs="i", yaxs="i") lines(variogramLine(m, maxdist=1600), lwd=2, lty=2, col=4) # do the prediction by kriging
ToNoY's user avatar
  • 573
1 vote
0 answers
78 views

Determining covariance of irregularly spaced spatial data in R?

region at two time point 2000 and 2010 with sample size of N_2000 = 51 and N_2010 = 26 (not all the samples are from the same location), mean of mu(C)_2000 = 47 and mu(C)_2010 = 27 (determined by block kriging … of all point observations using the 'gstat' package of R) and variance of V(C)_2000 = 89 and V(C)_2010 = 68 (kriging variance). …
ToNoY's user avatar
  • 573