The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Recent applications of point process methods in forestry statistics
Open accessAbstract
Forestry statistics is an important field of applied statistics with a long tradition. Many forestry problems can be solved by means of point processes or marked point processes. There, the “points ”are tree locations and the “marks ” are tree characteristics such as diameter at breast height or degree of damage by environmental factors. Point process characteristics are valuable tools for exploratory data analysis in forestry, for describing the variability of forest stands and for understanding and quantifying ecological relationships. Models of point processes are also an important basis of modern single-tree modeling, that gives simulation tools for the investigation of forest structures and for the prediction of results of forestry operations such as plantation and thinning.
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Cited by
Rings, circles and null models for point pattern analysis in ecology.
Wiegand, T., & A. Moloney, K. (2004) · Oikos · doi:10.1111/j.0030-1299.2004.12497.x · Cited by 1,157
Spatial Analysis: A Guide for Ecologists
Fortin, M.-J., & Dale, M. R. T. (2005) · doi:10.1017/cbo9780511542039 · Cited by 991
On the Use of Ripley's K-Function and Its Derivatives to Analyze Domain Size
Kiskowski, M. A., Hancock, J. F., & Kenworthy, A. K. (2009) · Biophysical Journal · doi:10.1016/j.bpj.2009.05.039 · Cited by 302
Metadata
- Authors
- Penttinen, A., & Stoyan, D.
- Venue
- Statistical Science
- Publisher
- Institute of Mathematical Statistics
- Published
- 2000-02-01
- Volume
- 15
- Issue
- 1
- Pages
- 61-78
- ISSN
- 0883-4237 (ISSN-L)
- OpenAlex
- W1772403982
- Cited by
- 507
- References
- 44
- FWCI
- 13.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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