rongelapUTM | R Documentation |
This data-set was used by Diggle, Tawn and Moyeed (1998) to illustrate
the model-based geostatistical methodology introduced in the paper.
discussed in the paper. The radionuclide concentration data set consists
of measurements of \gamma
-ray counts at 157
locations.
data(rongelapUTM)
A SpatVector
, with columns count
being the
radiation count and time
being the length of time
the measurement was taken for. A UTM coordinate reference system is used, where coordinates are in metres.
https://web.archive.org/web/20240110054727/http://www.leg.ufpr.br/doku.php/pessoais:paulojus:mbgbook:datasets. For further details on the radionuclide concentration data, see Diggle,Harper and Simon (1997), Diggle, Tawn and Moyeed (1998) and Christensen (2004).
Christensen, O. F. (2004). Monte Carlo maximum likelihood in model-based geostatistics. Journal of computational and graphical statistics 13 702-718.
Diggle, P. J., Harper, L. and Simon, S. L. (1997). Geostatistical analysis of residual contamination from nuclea testing. In: Statistics for the environment 3: pollution assesment and control (eds. V. Barnet and K. F. Turkmann), Wiley, Chichester, 89-107.
Diggle, P. J., Tawn, J. A. and Moyeed, R. A. (1998). Model-based geostatistics (with Discussion). Applied Statistics, 47, 299–350.
data("rongelapUTM")
rongelapUTM = unwrap(rongelapUTM)
plot(rongelapUTM, main="Rongelap island")
if(require('mapmisc')) {
bgMap = openmap(rongelapUTM, buffer=300, maxTiles=2)
plot(bgMap)
points(rongelapUTM, cex=0.4)
scaleBar(rongelapUTM, 'left')
}
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