STFDF-class | R Documentation |
A class for spatio-temporal data with full space-time grid; for n spatial locations and m times, n x m observations are available
STF(sp, time, endTime = delta(time))
STFDF(sp, time, data, endTime = delta(time))
## S4 method for signature 'STFDF'
x[i, j, ..., drop = is(x, "STFDF")]
## S4 method for signature 'STFDF,xts'
coerce(from, to, strict=TRUE)
## S4 method for signature 'STFDF,Spatial'
coerce(from, to)
sp |
object of class Spatial, having |
time |
object holding time information, of length |
endTime |
vector of class |
data |
data frame with |
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 |
the as.data.frame
coercion returns the full long table,
with purely spatial attributes and purely time attributes replicated
appropriately.
Objects of this class represent full space/time data with a full grid (or lattice) layout
sp
:spatial object; see ST-class
time
:temporal object; see ST-class
data
:Object of class data.frame
, which holds
the measured values; space index cycling first, time order preserved
signature(x = "STFDF")
: selects spatial entities, temporal entities, and attributes
STFDF,xts
STFDF,Spatial
(from) coerces to (wide form) SpatialXxDataFrame, where SpatialXx is the spatial class of from@sp
signature(x = "STF", y = "missing")
: plots space-time
layout
signature(x = "STFDF", y = "missing")
: plots space-time
layout, indicating full missing valued records
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)
time = 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
stfdf[1:2,]
stfdf[,1:2]
stfdf[,,2]
stfdf[,,"values"]
stfdf[1,]
stfdf[,2]
as(stfdf[,,1], "xts")
as(stfdf[,,2], "xts")
# examples for [[, [[<-, $ and $<-
stfdf[[1]]
stfdf[["values"]]
stfdf[["newVal"]] <- rnorm(12)
stfdf$ID
stfdf$ID = paste("OldIDs", 1:12, sep="")
stfdf$NewID = paste("NewIDs", 12:1, sep="")
stfdf
x = stfdf[stfdf[1:2,],]
all.equal(x, stfdf[1:2,])
all.equal(stfdf, stfdf[stfdf,]) # converts character to factor...
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