MULTIVARIATE REGRESSION TREES: A NEW TECHNIQUE FOR MODELING SPECIES–ENVIRONMENT RELATIONSHIPS
Top Cited Papers
- 1 April 2002
- Vol. 83 (4) , 1105-1117
- https://doi.org/10.1890/0012-9658(2002)083[1105:mrtant]2.0.co;2
Abstract
No abstract availableThis publication has 28 references indexed in Scilit:
- CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSISEcology, 2000
- PRINCIPAL CURVES: A NEW TECHNIQUE FOR INDIRECT AND DIRECT GRADIENT ANALYSISEcology, 1999
- Extended dissimilarity: a method of robust estimation of ecological distances from high beta diversity dataPlant Ecology, 1999
- Predicting the distribution of shrub species in southern California from climate and terrain‐derived variablesJournal of Vegetation Science, 1998
- SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACHEcological Monographs, 1997
- A survey of constrained classificationComputational Statistics & Data Analysis, 1996
- Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradientsProgress in Physical Geography: Earth and Environment, 1995
- Compositional dissimilarity as a robust measure of ecological distancePlant Ecology, 1987
- Generalized Procrustes AnalysisPsychometrika, 1975
- The biplot graphic display of matrices with application to principal component analysisBiometrika, 1971