vv: Precomputed variogram for PM10 in data set air
In gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description
Usage
Format
Examples
Description
Precomputed variogram for PM10 in data set air
Usage
1
Format
data set structure is explained in variogramST.
Examples
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## Not run:
# obtained by:
library(spacetime)
library(gstat)
data(air)
if (!exists("rural"))
rural = STFDF(stations, dates, data.frame(PM10 = as.vector(air)))
rr = rural[,"2005::2010"]
unsel = which(apply(as(rr, "xts"), 2, function(x) all(is.na(x))))
r5to10 = rr[-unsel,]
vv = variogram(PM10~1, r5to10, width=20, cutoff = 200, tlags=0:5)
## End(Not run)
gstat documentation built on May 2, 2019, 4:59 p.m.
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Description Usage Format Examples
Description
Precomputed variogram for PM10 in data set air
Usage
1 |
Format
data set structure is explained in variogramST.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## Not run:
# obtained by:
library(spacetime)
library(gstat)
data(air)
if (!exists("rural"))
rural = STFDF(stations, dates, data.frame(PM10 = as.vector(air)))
rr = rural[,"2005::2010"]
unsel = which(apply(as(rr, "xts"), 2, function(x) all(is.na(x))))
r5to10 = rr[-unsel,]
vv = variogram(PM10~1, r5to10, width=20, cutoff = 200, tlags=0:5)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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