  This paper extends the concept of informative selection, population
distribution and sample distribution to a spatial process context. These
notions were first defined in a context where the output of the random process
of interest consists of independent and identically distributed realisations
for each individual of a population. It has been showed that informative
selection was inducing a stochastic dependence among realisations on the
selected units. In the context of spatial processes, the "population" is a
continuous space and realisations for two different elements of the population
are not independent. We show how informative selection may induce a different
dependence among selected units and how the sample distribution differs from
the population distribution.
