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.
Publié le : 2000-02-01
Classification:
Point process,
mark,
modeling,
ecology,
intensity,
variability indices,
second order characteristic,
correlation,
single-tree model,
Cox process,
Gibbs process
@article{1009212674,
author = {Stoyan, Dietrich and Penttinen, Antti},
title = {Recent applications of point process methods in forestry
statistics},
journal = {Statist. Sci.},
volume = {15},
number = {1},
year = {2000},
pages = { 61-78},
language = {en},
url = {http://dml.mathdoc.fr/item/1009212674}
}
Stoyan, Dietrich; Penttinen, Antti. Recent applications of point process methods in forestry
statistics. Statist. Sci., Tome 15 (2000) no. 1, pp. 61-78. http://gdmltest.u-ga.fr/item/1009212674/