tull: Südliche Tullnerfeld data set

In edzer/gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Südliche Tullnerfeld data set

Description

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.

Usage

data(tull)

Format

The data frames contain the following columns:

x

X location in meter

y

Y location in meter

S411

Station name

S429

Station name

S849

Station name

S854

Station name

S1502

Station name

S1584

Station name

S1591

Station name

S2046

Station name

S2047

Station name

S2048

Station name

S2049

Station name

S2051

Station name

S2052

Station name

S2053

Station name

S2054

Station name

S2055

Station name

S2057

Station name

S2058

Station name

S2059

Station name

S2060

Station name

S2061

Station name

S2062

Station name

S2063

Station name

S2064

Station name

S2065

Station name

S2066

Station name

S2067

Station name

S2070

Station name

S2071

Station name

S2072

Station name

S2128

Station name

S5319

Station name

S5320

Station name

S5321

Station name

S5322

Station name

S5323

Station name

Note

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

References

Werner G. Müller, Collecting Spatial Data, 3rd edition. Springer Verlag, Heidelberg, 2007

Examples

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, "%d.%m.%y"))

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, pch=16)

edzer/gstat documentation built on March 27, 2024, 12:26 p.m.