covablocks-class | R Documentation |
A class for the sample spatio-temporal covariances to be computed for each
block of data and for the selected spatial and temporal lags fixed
in stpairs
(output from couples
). Depending on the type of
test the empirical variance, the sample spatial and temporal marginal
covariances for each block of data are also computed. Moreover, the sample
covariances between the spatio-temporal covariances at the specified spatial
and temporal lags are determined.
covablocks(stblocks, stpairs, typetest = "sym")
## S4 method for signature 'covablocks'
show(object)
stblocks |
object of class |
stpairs |
object of class |
typetest |
character, set |
object |
object of class |
If typetest
is equal to "sym"
(symmetry test) or "intProduct"
(test on the integrated product class of models) mat.cova.h
and mat.cova.u
are not available
If typetest
is equal to "gneiting"
(test on the Gneiting
class of models) mat.cova.h
is not available
If temporal lags in stpairs
are not consistent with block length
(lb
) in stblocks
an error message will be returned
If the proportion between the maximum temporal lag in stpairs
and
the block length (lb
) in stblocks
is greater than 0.25 a warning
message will be returned since the covariance estimation might not be reliable
mat.cova
matrix of sample spatio-temporal covariances for each block,
computed for the spatial and temporal lags given in stpairs
(object of class couples
)
mat.cova.h
matrix of sample spatial marginal covariances for the specified lags
mat.cova.u
matrix of sample temporal marginal covariances for the specified lags
mat.cova.cova
matrix of sample covariances between space-time
covariances for each block, computed for the spatial and temporal lags given
in stpairs
(object of class couples
)
typetest
character, contains the code of the test to be performed
Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models. Stochastic Environmental Research and Risk Assessment, 32 17–35
Cappello, C., De Iaco, S., Posa, D., 2020, covatest: An R Package for Selecting a Class of Space-Time Covariance Functions. Journal of Statistical Software, 94(1) 1–42.
De Iaco, S., Palma, M., Posa, D., 2016. A general procedure for selecting a class of fully symmetric space-time covariance functions. Environmentrics, 27(4) 212–224.
Li, B., Genton, M.G., Sherman, M., 2007, A nonparametric assessment of properties of spacetime covariance functions. Journal of the American Statistical Association, 102 736–744.
blocks
couples
# --start define the STFDF rr_13-- #
library(sp)
library(spacetime)
#library(gstat)
data(air)
ls()
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,]
rr_13 <- r5to10[c("DEHE046","DESN049","DETH026","DENW063","DETH061","DEBY047",
"DENW065","DEUB029","DENW068","DENI019","DEHE051","DERP016","DENI051"),
"2005::2006"]
# --end define the STFDF rr_13-- #
sel.staz.sym <- c("DERP016", "DENW065", "DEHE051", "DETH026", "DENW063", "DENI019",
"DENW068", "DEHE046", "DEUB029", "DEBY047", "DETH061", "DESN049")
sp.couples.in.sym <- matrix(data = c("DERP016", "DENW065", "DEHE051", "DETH026",
"DENW063", "DENI019", "DENW068", "DEHE046", "DEUB029", "DEBY047", "DETH061", "DESN049"),
ncol = 2, byrow = TRUE)
t.couples.in.sym <- c(1, 2)
couples.sym <- couples(sel.staz = sel.staz.sym, sp.couples.in = sp.couples.in.sym,
t.couples.in = t.couples.in.sym, typetest = "sym", typecode = character())
block.sym <- blocks(lb = 40, ls = 10, matdata = rr_13, pardata1 = 1, pardata2 = 1,
stpairs = couples.sym)
covabl.sym <- covablocks(stblocks = block.sym, stpairs = couples.sym, typetest = "sym")
### method for covablock
#1. show
covabl.sym
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