Journal article

Recent applications of point process methods in forestry statistics

Stoyan D, Penttinen A ...see all

Statistical Science, vol. 15, issue 1 (2000) pp. 61-78

  • 229


    Mendeley users who have this article in their library.
  • 272


    Citations of this article.
Sign in to save reference


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.

Author-supplied keywords

  • Cox process
  • Gibbs process
  • correlation
  • ecology
  • intensity
  • mark
  • modeling
  • point process
  • second order characteristic
  • single-tree model
  • variability indices

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Dietrich Stoyan

  • Antti Penttinen

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free