vv: Precomputed variogram for PM10 in data set air
In gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
vv R Documentation
Precomputed variogram for PM10 in data set air
Description
Precomputed variogram for PM10 in data set air
Usage
data(vv)
Format
data set structure is explained in variogramST.
Examples
## Not run:
# obtained by:
library(spacetime)
library(gstat)
data(air)
suppressWarnings(proj4string(stations) <- CRS(proj4string(stations)))
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 Sept. 11, 2024, 7:46 p.m.
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| vv | R Documentation |
Precomputed variogram for PM10 in data set air
Description
Precomputed variogram for PM10 in data set air
Usage
data(vv)
Format
data set structure is explained in variogramST.
Examples
## Not run:
# obtained by:
library(spacetime)
library(gstat)
data(air)
suppressWarnings(proj4string(stations) <- CRS(proj4string(stations)))
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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