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A \(J\)-function for inhomogeneous point processes. (English) Zbl 07881872

Summary: We propose new summary statistics for intensity-reweighted moment stationary point processes, that is, point processes with translation invariant \(n\)-point correlation functions for all \(n\in\mathbb{N}\), that generalise the well known \(J\)-, empty space, and spherical Palm contact distribution functions. We represent these statistics in terms of generating functionals and relate the inhomogeneous \(J\)-function to the inhomogeneous reduced second moment function. Extensions to space time and marked point processes are briefly discussed.
© 2011 The Author. Statistica Neerlandica © 2011 VVS

MSC:

60Gxx Stochastic processes
62Mxx Inference from stochastic processes
62Hxx Multivariate analysis

References:

[1] Adler, R. J. (1981), The geometry of random fields, John Wiley & Sons, New York. · Zbl 0478.60059
[2] Baddeley, A. J., M.Kerscher, K.Schladitz and B. T.Scott (2000), Estimating the J function without edge correction, Statistica Neerlandica54, 315-328. · Zbl 1018.62085
[3] Baddeley, A. J., J.Møller and R.Waagepetersen (2000), Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns, Statistica Neerlandica54, 329-350. · Zbl 1018.62027
[4] Bedford, T. and J.van den Berg (1997), A remark on the Van Lieshout and Baddeley J‐function for point processes, Advances in Applied Probability29, 19-25. · Zbl 0882.60044
[5] Berman, M. and P. J.Diggle (1989), Estimating weighted integrals of the second‐order intensity of a spatial point process, Journal of the Royal Statistical Society Series B51, 81-92. · Zbl 0671.62043
[6] Chen, J. (2003), Summary statistics in point patterns and their applications, Ph.D. Thesis, Curtin University of Technology.
[7] Daley, D. J. and D.Vere‐Jones (1988), An introduction to the theory of point processes, Springer Verlag, New York, Second edition Volume I, Elementary theory and methods, 2003, Volume II, General theory and structure, 2008. · Zbl 0657.60069
[8] Foxall, R. and A. J.Baddeley (2002), Nonparametric measures of association between a spatial point process and a random set, with geological applications, Journal of the Royal Statistical Society Series C51, 165-182. · Zbl 1111.62324
[9] Gabriel, E. and P. J.Diggle (2009), Second‐order analysis of inhomogeneous spatiotemporal point process data, Statistica Neerlandica63, 43-51. · Zbl 07882057
[10] Gelfand, A. E., P. J.Diggle, M.Fuentes and P.Guttorp (eds) (2010), Handbook of spatial statistics, CRC Press/Chapman and Hall, Boca Raton. · Zbl 1188.62284
[11] Georgii, H.‐O. (1976), Canonical and grand canonical Gibbs states for continuum systems, Communications of Mathematical Physics48, 31-51.
[12] Illian, J., A.Penttinen, H.Stoyan and D.Stoyan (2008), Statistical analysis and modelling of spatial point patterns, John Wiley & Sons, Chichester. · Zbl 1197.62135
[13] Kerscher, M. (1998), Regularity in the distribution of superclusters?, Astronomy and Astrophysics336, 29-34.
[14] Kerscher, M., J.Schmalzing, T.Buchert and H.Wagner (1998), Fluctuations in the IRAS 1.2 Jy catalogue, Astronomy and Astrophysics333, 1-12.
[15] Kerscher, M., M. J.Pons-Bordería, J.Schmalzing, R.Trasarti-Battistoni, T.Buchert, V. J.Martínez and R.Valdarnini, (1999), A global descriptor of spatial pattern interaction in the galaxy distribution, Astrophysical Journal513, 543-548.
[16] van Lieshout, M. N. M. (2000), Markov point processes and their applications. Imperial College Press/World Scientific Publishing, London/Singapore. · Zbl 0968.60005
[17] van Lieshout, M. N. M. (2006), A J‐function for marked point patterns, Annals of the Institute of Statistical Mathematics, 58, 235-259. · Zbl 1097.62094
[18] van Lieshout, M. N. M. and A. J.Baddeley(1996), A nonparametric measure of spatial interaction in point patterns, Statistica Neerlandica50, 344-361. · Zbl 0898.62118
[19] van Lieshout, M. N. M. and A. J.Baddeley(1999), Indices of dependence between types in multivariate point patterns, Scandinavian Journal of Statistics26, 511-532. · Zbl 0942.62061
[20] Møller, J. and R. P.Waagepetersen (2007), Modern statistics for spatial point processes, Scandinavian Journal of Statistics34, 643-684. · Zbl 1157.62067
[21] Møller, J., A. R.Syversveen and R. P.Waagepetersen (1998), Log Gaussian Cox processes, Scandinavian Journal of Statistics25, 451-482. · Zbl 0931.60038
[22] Møller, J. and R. P.Waagepetersen (2004), Statistical inference and simulation for spatial point processes, Chapman and Hall/CRC, Boca Raton. · Zbl 1044.62101
[23] Nguyen, X. X. and H.Zessin (1979), Integral and differential characterization of the Gibbs process, Mathematische Nachrichten88, 105-115. · Zbl 0444.60040
[24] Papangelou, F. (1974), The conditional intensity of general point processes and an application to line processes, Zeitschrift fűr Wahrscheinlichkeitstheorie und verwandte Gebiete28, 207-226. · Zbl 0265.60047
[25] Paulo, M. J. (2002), Statistical sampling and modelling for cork oak and eucalyptus stands, Ph.D. Thesis, Wageningen University.
[26] Peebles, P. J. E. (1980), The large‐scale structure of the universe, Princeton University Press, New Jersey. · Zbl 1422.85005
[27] Pitt, L. D. (1982), Positively correlated normal variables are associated, Annals of Probability10, 496-499. · Zbl 0482.62046
[28] Stein, A., van Lieshout, M. N. M. and H. W. G.Booltink (2001), Spatial interaction of methylene blue stained soil pores, Geoderma102, 101-121.
[29] Stoyan, D., W. S.Kendall and J.Mecke(1987), Stochastic geometry and its applications, Akademie‐Verlag, Berlin, Second edition 1995. · Zbl 0622.60019
[30] Thőnnes, E. and van LieshoutM. N. M. (1999), A comparative study on the power of Van Lieshout and Baddeley’s J-function, Biometrical Journal41, 721-734. · Zbl 1055.62507
[31] White, S. D. M. (1979), The hierarchy of correlation functions and its relation to other measures of galaxy clustering, Monthly Notices of the Royal Astronomical Society186, 145-154.
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