In diamond alluvial deposits, the information about the spatial
distribution of stone size is of crucial importance for the quantitative
characterisation of the different areas of the deposit. In fact, the
value of the diamond reserves depends strongly on the distribution of
stone sizes: between two areas with the same grade, the most valuable is
the one with larger stones. The geological genesis of the
mineralization, related with the transport and deposition of stones in
trapsites, can create separated spatial areas, corresponding to
different stone size. To characterise these distinct areas, the non
smooth transitions between them should be accounted for, in the
estimation of internal properties. An extended version of zonal control
of geostatistical estimation (Soares et ai, 1995) proposed in this
paper, aims to characterising the classes of size histogram for each
geological unit, avoiding the smooth effect. For this purpose the
morphology of each geological unit is obtained by using two distinct
criteria: i) first, the points of each unit are classified according to
the local and global probabilities of belonging to each unit (Soares,
1992); ii) in a second classification, the optimization technique of
Simulated Annealing is used to rearrange the pre-classified points in
order to impose, in the final morphological maps, the spatial
variability of experimental samples (Goovaerts, 1994). A case study of a
diamond alluvial deposit with two geological units with distinct stone
size histograms is presented.