Modelling interactions between trees by means of field observations

Forest Ecology and Management

Volumn 108, Issue 1-2, 1998, Pages 57-62

  Särkkä, Aila ^a   Tomppo, Erkki ^b  

^a UNIVERSITY OF GOTHENBURG   (Sweden)

^b FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Field observations; Gibbs model; Pairwise interaction; Pseudo likelihood method; Spatial pattern of trees

Indexed keywords

INTERSPECIFIC INTERACTION; MODELLING; TREE;

FINLAND;

PICEA; PINUS;

EID: 0344505778     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-1127(97)00345-9     Document Type: Article

References (15)

1. Besag, J., 1974. Spatial interaction and the statistical analysis of lattice systems (with discussion). J. R. Stat. Soc. B 36, 192-236.
2. Besag, J., 1978. Some methods of statistical analysis for spatial data. Bull. Int. Stat. Inst. 47, 77-92.
3. Besag, J., Milne, R., Zachary, S., 1982. Point process limits of lattice processes. J. Appl. Prob. 19, 210-216.
4. Diggle, P.J., Fiksel, T., Grabarnik, P., Ogata, Y., Stoyan, D., Tanemura, M., 1993. On parameter estimation for pairwise interaction point processes. Int. Stat. Rev. 62, 99-117.
5. Fiksel, T., 1984. Estimation of parameterized pair potentials of marked and non-marked Gibbsian point processes. Electron. Informationsverarb. U. Kybernet 20, 270-278.
6. Gates, D.J., Westcott, M., 1986. Clustering estimates for spatial point distributions with unstable potentials. Ann. Inst. Stat. Math. A 38, 123-135.
7. Grabarnik, P., Särkkä, A. (1992). On parameter estimation of marked Gibbs point processes. Preprints from the Department of Statistics, University of Jyväskylä, 5.
8. Møller, J. (1994). Markov chain Monte Carlo and spatial point processes. Department of Theoretical Statistics, Institute of Mathematics, University of Aarhus, 293.
9. Penttinen, A. (1984). Modelling interaction in spatial point patterns: parameter estimation by the maximum likelihood method. Jyväskylä Studies in Computer Science, Economics and Statistics, 7.
10. Ripley, B.D. (1981). Spatial statistics. Wiley, Chichester.
11. Ripley, B.D. (1988). Statistical inference for spatial processes. Cambridge Univ. Press, Cambridge.
12. Särkkä, A. (1989). On parameter estimation of Gibbs point processes through the pseudo-likelihood method. Reports from the Department of Statistics, University of Jyväskylä, 4.
13. Särkkä, A., 1995. Pseudo-likelihood approach for Gibbs point processes in connection with field observations. Statistics 26, 89-97.
14. Stoyan, D., Kendall, W.S., Mecke, J. (1987). Stochastic geometry and its applications. Wiley, Chichester.
15. Tomppo, E. (1986). Models and Methods for analysing spatial patterns of trees. Communicationes Instituti Forestalis Fenniae, 138.