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  • 1
    Electronic Resource
    Electronic Resource
    Correlation between soil characters and forest types: a study in multiple discriminant analysis (1985)
    Springer
    Plant ecology 60 (1985), S. 49-56 
    Details
    ISSN: 1573-5052
    Keywords: Analysis of predictivity ; Forest types ; Multiple discriminant analysis ; Northern Italy ; Numerical classification ; Pedology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Multiple discriminant analysis is a useful multivariate technique in vegetation studies that can be employed for several purposes, even if the underlying statistical assumptions are not satisfied. An example of application of this method is discussed: multiple discriminant analysis was successfully used for evaluating the predictivity of forest types defined by numerical classification of vegetation data with respect to soil variables.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00053911
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