Dear list,

The squared Mahalanobis distance is defined as:
D2 = (X-m)' C (X-m)
When this is used in ecological modelling, X refers to the environmental variables at a location i, m and C are the mean and inverted covariance matrix of the same variables at a set of locations where a species has been observed. It is then usually assumed that this squared distance is Chi square distributed with n-1 degrees of freedom, n being the number of variables, as described in the original paper of Clark et al. (1993). The same assumption is used in the mahasuhab function of adehabitat. However, when reading non-ecological texts about linear models, the Mahalanobis distance seems to be a special case of quadratic forms, which for an invertible covariance matrix are described to have rank(C) = n degrees of freedom, see e.g. Christensen (2011, p9) and different hits with the search string:
mahalanobis chi square degrees of freedom
I cannot verify the reliability of all these sites, but it is striking that in most ecological links the authors seem to use n-1 degrees of freedom whereas in most non-ecological links the authors seem to use n degrees of freedom.

Clark et al. (1993) do not give a reference in the description of the Chi square distribution, but earlier in the theory section there are some references to a book of Morrison (1976). Could this be the source? Does anyone know why it appears to be a discrepancy in the degrees of freedom? I have not found any discussions about this, is there anything I have missed?

Thanks in advance,
Jon


Christensen, R., 2011. Plane answers to complex questions: The theory of linear models, 4 ed. New York: Springer Science.

Clark, J.D., Dunn, J.E. & Smith, K.G., 1993. A multivariate model of female black bear habitat use for a geographical information system. Journal of Wildlife Management 57, 519-526.

Morrison, D. F., 1976. Multivariate statistical methods. McGraw-Hill Book Co., New York, N.Y., 415 pp.

--
Jon Olav Skøien
Joint Research Centre - European Commission
Institute for Environment and Sustainability (IES)
Land Resource Management Unit

Via Fermi 2749, TP 440,  I-21027 Ispra (VA), ITALY

jon.sko...@jrc.ec.europa.eu
Tel:  +39 0332 789206

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