Multiresolution Assessment of Forest Inhomogeneity

  • Katja Ickstadt
  • Robert L. Wolpert
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 121)

Abstract

The spatial distribution of dominant tree species in an undisturbed mature stand tends to be regular and even, often exhibiting less variation than a simple Poisson model would suggest; in contrast the spatial distribution of species in a recovering or transitional stand would be expected to display considerable spatial variation. This paper studies the spatial distribution of hickory trees within the Bormann research plot of Duke Forest in an attempt to assess the degree of variation, as an indicator for forest maturation, using models recently introduced in Wolpert and Ickstadt (1995). A data augmentation scheme and Markov chain Monte Carlo methods are employed to evaluate Bayesian posterior distributions.

Keywords

Burning Covariance Hexagonal Bark Kriging 

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Copyright information

© Springer-Verlag New York, Inc. 1997

Authors and Affiliations

  • Katja Ickstadt
  • Robert L. Wolpert

There are no affiliations available

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