tull {gstat} | R Documentation |
The Südliche Tullnerfeld is a part of the Danube river basin in central Lower Austria and due to its homogeneous aquifer well suited for a model-oriented geostatistical analysis. It contains 36 official water quality measurement stations, which are irregularly spread over the region.
data(tull)
The data frames contain the following columns:
This data set was obtained on May 6, 2008 from http://www.ifas.jku.at/e5361/index_ger.html . The author of the book that uses it is found at: http://www.ifas.jku.at/e2571/e2604/index_ger.html
Werner G. Müller, Collecting Spatial Data, 3rd edition. Springer Verlag, Heidelberg, 2007
data(tull) # TULLNREG = read.csv("TULLNREG.csv") # I modified tulln36des.csv, such that the first line only contained: x,y # resulting in row.names that reflect the station ID, as in # tull36 = read.csv("tulln36des.csv") # Chlorid92 was read & converted by: #Chlorid92=read.csv("Chlorid92.csv") #Chlorid92$Datum = as.POSIXct(strptime(Chlorid92$Datum, " summary(tull36) summary(TULLNREG) summary(Chlorid92) # stack & join data to x,y,Date,Chloride form: cl.st = stack(Chlorid92[-1]) names(cl.st) = c("Chloride", "Station") cl.st$Date = rep(Chlorid92$Datum, length(names(Chlorid92))-1) cl.st$x = tull36[match(cl.st[,"Station"], row.names(tull36)), "x"] cl.st$y = tull36[match(cl.st[,"Station"], row.names(tull36)), "y"] # library(lattice) # xyplot(Chloride~Date|Station, cl.st) # xyplot(y~x|Date, cl.st, asp="iso", layout=c(16,11)) summary(cl.st) plot(TULLNREG, pch=3, asp=1) points(y~x, cl.st, add=TRUE, pch=16)