Multiscale assessment of landscapes and watersheds with synoptic multivariate spatial data in environmental and ecological statistics

  • Authors:

  • G. P. Patil;W. L. Myers; Zhen Luo;G. D. Johnson;C. Taillie

  • Affiliations:

  • Center for Statistical Ecology and Environmental Statistics Department of Statistics The Pennsylvania State University University Park, PA 16802, U.S.A.;School of Forest Resources and Environmental Resources Research Institute The Pennsylvania State University University Park, PA 16802, U.S.A.;Center for Statistical Ecology and Environmental Statistics Department of Statistics The Pennsylvania State University University Park, PA 16802, U.S.A.;Center for Statistical Ecology and Environmental Statistics Department of Statistics The Pennsylvania State University University Park, PA 16802, U.S.A.;Center for Statistical Ecology and Environmental Statistics Department of Statistics The Pennsylvania State University University Park, PA 16802, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2000

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Abstract

The paper attempts to provide a multiscale assessment of landscapes and watersheds using synoptic multivariate spatial data. Multiscale assessment is a frontier problem in environmental and ecological statistics today. The paper briefly deals with univariate surface data, multivariate signal data, and multicover categorical data, and applies stochastic conceptualization involving dendrogram trees and conditional entropies with special reference to the landscapes and watersheds of Pennsylvania.