Analysing spatial point patterns in R - CSIRO
Analysing spatial point patterns in R - CSIRO
Analysing spatial point patterns in R - CSIRO
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
REFERENCES 225<br />
References<br />
[1] F.P. Agterberg. Automatic contour<strong>in</strong>g of geological maps to detect target areas for m<strong>in</strong>eral<br />
exploration. Journal of the International Association for Mathematical Geology, 6:373–395,<br />
1974.<br />
[2] L. Ansel<strong>in</strong>. Local <strong>in</strong>dicators of <strong>spatial</strong> association – LISA. Geographical Analysis, 27:93–115,<br />
1995.<br />
[3] A. Baddeley. Modell<strong>in</strong>g strategies. In A.E. Gelfand, P.J. Diggle, M. Fuentes, and P. Guttorp,<br />
editors, Handbook of Spatial Statistics, chapter 20, pages 339–369. CRC Press, Boca Raton,<br />
2010.<br />
[4] A. Baddeley, M. Berman, N.I. Fisher, A. Hardegen, R.K. Milne, D. Schuhmacher, R. Shah,<br />
and R. Turner. Spatial logistic regression and change-of-support for <strong>spatial</strong> Poisson <strong>po<strong>in</strong>t</strong><br />
processes. Electronic Journal of Statistics, 4:1151–1201, 2010. doi: 10.1214/10-EJS581.<br />
[5] A. Baddeley, Y.-M. Chang, Y. Song, and R. Turner. Diagnostics for transformation of<br />
covariates <strong>in</strong> <strong>spatial</strong> Poisson <strong>po<strong>in</strong>t</strong> process models. Submitted for publication.<br />
[6] A. Baddeley, J. Møller, and A.G. Pakes. Properties of residuals for <strong>spatial</strong> <strong>po<strong>in</strong>t</strong> processes.<br />
Annals of the Institute of Statistical Mathematics, 60:627–649, 2008.<br />
[7] A. Baddeley, J. Møller, and R. Waagepetersen. Non- and semiparametric estimation of <strong>in</strong>teraction<br />
<strong>in</strong> <strong>in</strong>homogeneous <strong>po<strong>in</strong>t</strong> <strong>patterns</strong>. Statistica Neerlandica, 54(3):329–350, November<br />
2000.<br />
[8] A. Baddeley, E. Rubak, and J. Moller. Score, pseudo-score and residual diagnostics for<br />
goodness-of-fit of <strong>spatial</strong> <strong>po<strong>in</strong>t</strong> process models. Submitted for publication.<br />
[9] A. Baddeley and R. Turner. Practical maximum pseudolikelihood for <strong>spatial</strong> <strong>po<strong>in</strong>t</strong> <strong>patterns</strong><br />
(with discussion). Australian and New Zealand Journal of Statistics, 42(3):283–322, 2000.<br />
[10] A. Baddeley and R. Turner. Spatstat: an R package for analyz<strong>in</strong>g <strong>spatial</strong> <strong>po<strong>in</strong>t</strong> <strong>patterns</strong>.<br />
Journal of Statistical Software, 12(6):1–42, 2005. URL: www.jstatsoft.org, ISSN: 1548-<br />
7660.<br />
[11] A. Baddeley and R. Turner. Modell<strong>in</strong>g <strong>spatial</strong> <strong>po<strong>in</strong>t</strong> <strong>patterns</strong> <strong>in</strong> R. In A. Baddeley, P. Gregori,<br />
J. Mateu, R. Stoica, and D. Stoyan, editors, Case Studies <strong>in</strong> Spatial Po<strong>in</strong>t Pattern<br />
Modell<strong>in</strong>g, number 185 <strong>in</strong> Lecture Notes <strong>in</strong> Statistics, pages 23–74. Spr<strong>in</strong>ger-Verlag, New<br />
York, 2006. ISBN: 0-387-28311-0.<br />
[12] A. Baddeley, R. Turner, J. Møller, and M. Hazelton. Residual analysis for <strong>spatial</strong> <strong>po<strong>in</strong>t</strong><br />
processes (with discussion). Journal of the Royal Statistical Society, series B, 67(5):617–666,<br />
2005.<br />
[13] A.J. Baddeley. Spatial sampl<strong>in</strong>g and censor<strong>in</strong>g. In O.E. Barndorff-Nielsen, W.S. Kendall,<br />
and M.N.M. van Lieshout, editors, Stochastic Geometry: Likelihood and Computation, chapter<br />
2, pages 37–78. Chapman and Hall, London, 1999.<br />
[14] A.J. Baddeley and J. Møller. Nearest-neighbour Markov <strong>po<strong>in</strong>t</strong> processes and random sets.<br />
International Statistical Review, 57:89–121, 1989.<br />
Copyright<strong>CSIRO</strong> 2010