Class "STSDF"
A class for spatio-temporal data with partial space-time grids; for n spatial locations and m times, an index table is kept for which nodes observations are available
STS(sp, time, index, endTime = delta(time)) STSDF(sp, time, data, index, endTime = delta(time)) ## S4 method for signature 'STSDF' x[i, j, ..., drop = is(x, "STSDF")] ## S4 method for signature 'STSDF,STFDF' coerce(from, to, strict=TRUE) ## S4 method for signature 'STSDF,STIDF' coerce(from, to, strict=TRUE)
sp |
object of class Spatial |
time |
object holding time information; see ST-class |
data |
data frame with rows corresponding to the observations (spatial index moving faster than temporal) |
index |
two-column matrix: rows corresponding to the nodes for which observations are available, first column giving spatial index, second column giving temporal index |
endTime |
vector of class |
x |
an object of class STFDF |
i |
selection of spatial entities |
j |
selection of temporal entities (see syntax in package xts) |
... |
selection of attribute(s) |
drop |
if TRUE and a single spatial entity is selected, an object
of class xts is returned; if TRUE and a single temporal entity is
selected, and object of the appropriate |
from |
object of class STFDF |
to |
target class |
strict |
ignored |
Objects of this class carry sparse space/time grid data
sp
:Object of class "Spatial"
time
:Object holding time information; see ST-class for permitted types
index
:matrix of dimension n x 2, where n matches the number of rows in slot data
data
:Object of class data.frame
, which holds
the measured values
signature(x = "STSDF")
: selects spatial entities, temporal entities, and attributes
signature(x = "STS", y = "missing")
: plots
space-time layout
signature(x = "STSDF", y = "missing")
: plots
space-time layout, indicating records partially NA
Edzer Pebesma, edzer.pebesma@uni-muenster.de
https://www.jstatsoft.org/v51/i07/
sp = cbind(x = c(0,0,1), y = c(0,1,1)) row.names(sp) = paste("point", 1:nrow(sp), sep="") library(sp) sp = SpatialPoints(sp) library(xts) time = xts(1:4, as.POSIXct("2010-08-05")+3600*(10:13)) m = c(10,20,30) # means for each of the 3 point locations mydata = rnorm(length(sp)*length(time),mean=rep(m, 4)) IDs = paste("ID",1:length(mydata)) mydata = data.frame(values = signif(mydata,3), ID=IDs) stfdf = STFDF(sp, time, mydata) stfdf stsdf = as(stfdf, "STSDF") stsdf[1:2,] stsdf[,1:2] stsdf[,,2] stsdf[,,"values"] stsdf[1,] stsdf[,2] # examples for [[, [[<-, $ and $<- stsdf[[1]] stsdf[["values"]] stsdf[["newVal"]] <- rnorm(12) stsdf$ID stsdf$ID = paste("OldIDs", 1:12, sep="") stsdf$NewID = paste("NewIDs", 12:1, sep="") stsdf x = stsdf[stsdf,] x = stsdf[stsdf[1:2,],] all.equal(x, stsdf[1:2,])
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