Description of Tree Distribution Patterns and Their Development Through Marked Gibbs Processes

Biometrical Journal

Volumn 41, Issue 4, 1999, Pages 457-470

  Degenhardt, Annett ^a  

^a Landesforstanstalt Eberswalde   (Germany)

Author keywords

Forest stands; Marked Gibbs process; Spatial statistics; Tree distribution pattern

Indexed keywords

DISTRIBUTION PATTERNS; FOREST STAND; GIBBS PROCESS; MARKED GIBBS PROCESS; MARKED POINT PROCESS; NATURAL TOOLS; POINT PROCESS; SPATIAL STATISTICS; TREE DISTRIBUTION; TREE DISTRIBUTION PATTERN;

FORESTRY;

EID: 0033457603     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/(sici)1521-4036(199907)41:4<457::aid-bimj457>3.3.co;2-q     Document Type: Article

References (13)

1. DEGENHARDT, A., 1994: Verfahren zur Charakterisierung der Konkurrenzverhältnisse in Mischbeständen. Beitr. Forstwirtsch. u. Landsch.ökol. 28, 87-89.
2. FIKSEL, T., 1988: Estimation of Interaction Potentials of Gibbsian Point Processes. Statistics 19, 77-86.
3. GAVRIKOV, V. and STOYAN, D., 1995: The use of marked processes in ecological and environmental forest studies. Environmental and Ecological Statistics 2, 331-344.
4. GOULARD, M., SÄRKKÄ, A., and GRABARNIK, P., 1996: Parameter Estimation for Marked Gibbs Point Processes Through the Maximum Pseudo-likelihood Method. Scand. J. Statist. 23, 365-379.
5. OGATA, Y. and TANEMURA, M., 1985: Estimation of Interaction Potentials of Marked Spatial Point Patterns Through the Maximum Likelihood Method. Biometrics 41, 421-433.
6. PENTTINEN, A. K., 1984: Modelling Interaction in Spatial Point Patterns: Parameter Estimation by the Maximum Likelihood Method. Jyväskylä Studies in Computer Science, Economics and Statistics 7.
7. PENTTINEN, A. K., STOYAN, D., and HENTTONEN, M., 1992: Marked Point Processes in Forest Statistics. Forest Sci. 38, 806-824.
8. PIELOU, E. C., 1977: Mathematical Ecology. Wiley, New York.
9. RIPLEY, B.D., 1981: Spatial Statistics. Wiley, New York.
10. SÄRKKÄ, A., 1993: The Pseudo-Likelihood Approach for Gibbs Point Processes in Connection with Field Observations. In: K. Rennolls, (ed.): Stochastic Spatial Models in Forestry. Proceedings of a IUFRO S4.11 Conference held in Thessaloniki, GREECE, 18-21 May 1993, 37-46.
11. STOYAN, D., KENDALL, W. S., and MECKE, J., 1995: Stochastic Geometry and its Applications, 2nd edition. Wiley, New York.
12. STOYAN, D. and STOYAN, H., 1994: Fractals, Random Shapes and Point Fields: Methods of Geometrical Statistics. Wiley, New York.
13. TOMPPO, E., 1986: Models and Methods for Analysing Spatial Patterns of Trees. Communicationes Instituti Forestalis Fennica 138, Helsinki.