  Many statistical methods have been proposed in the last years for analyzing
the spatial distribution of galaxies. Very few of them, however, can handle
properly the border effects of complex observational sample volumes. In this
paper, we first show how to calculate the Minkowski Functionals (MF) taking
into account these border effects. Then we present a multiscale extension of
the MF which gives us more information about how the galaxies are spatially
distributed. A range of examples using Gaussian random fields illustrate the
results. Finally we have applied the Multiscale Minkowski Functionals (MMF) to
the 2dF Galaxy Redshift Survey data. The MMF clearly indicates an evolution of
morphology with scale. We also compare the 2dF real catalog with mock catalogs
and found that Lambda-CDM simulations roughly fit the data, except at the
finest scale.
