These data were introduced and analysed by Berman (1986). They have also been studied by Berman and Diggle (1989), Berman and Turner (1992), Baddeley and Turner (2000, 2005), Foxall and Baddeley (2002) and Baddeley et al (2005). Many analyses have been performed on the southern half of the data only. This subset is also provided.
data(copper)
copper
is a list with the following entries:
"ppp"
)
representing the full point pattern of copper deposits.
See ppp.object
for details of the format.
"psp"
)
representing the lineaments in the full dataset.
See psp.object
for details of the format.
"owin"
.
"ppp"
.
"psp"
.
Baddeley, A. and Turner, R. (2005) Modelling spatial point patterns in R. In: A. Baddeley, P. Gregori, J. Mateu, R. Stoica, and D. Stoyan, editors, Case Studies in Spatial Point Pattern Modelling, Lecture Notes in Statistics number 185. Pages 23--74. Springer-Verlag, New York, 2006. ISBN: 0-387-28311-0.
Berman, M. (1986). Testing for spatial association between a point process and another stochastic process. Applied Statistics 35, 54--62.
Berman, M. and Diggle, P.J. (1989) Estimating Weighted Integrals of the Second-order Intensity of a Spatial Point Process. Journal of the Royal Statistical Society, series B 51, 81--92.
Berman, M. and Turner, T.R. (1992) Approximating point process likelihoods with GLIM. Applied Statistics 41, 31--38. Foxall, R. and Baddeley, A. (2002) Nonparametric measures of association between a spatial point process and a random set, with geological applications. Applied Statistics 51, 165--182.
data(copper)
# Plot full dataset
plot(copper$Points)
plot(copper$Lines, add=TRUE)
# Plot southern half of data
plot(copper$SouthPoints)
plot(copper$SouthLines, add=TRUE)
## Not run:
# Z <- distmap(copper$SouthLines)
# plot(Z)
# X <- copper$SouthPoints
# ppm(X, ~D, covariates=list(D=Z))
# ## End(Not run)
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