## Dray S., Pettorelli N., Chessel D. (2003).
*Multivariate analysis of incomplete mapped data*.
Transactions in GIS, 7:411--422.

Classical multivariate analyses are based on matrix
algebra and enable the analysis of a table containing
measurements of a set of variables for a set of sites.
Incomplete mapped data consist of measurements of a set of
variables recorded for the same geographical region but for
different zonal systems and with only a partial sampling of
this zone. This kind of data cannot be analysed with usual
multivariate methods because there is no common system of
sites for all variables. We propose a new approach using
GIS technology and NIPALS, an iterative multivariate
method, to analyse the spatial patterns of this kind of
data. Moreover, an extension of our method is that it can
be used for areal interpolation purposes. We illustrate the
method in analysing data concerning the distribution of roe
deer weights over several years in a reserve.

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