Soil surveys have now been completed in many countries and qualitative
interpretations in terms of soil suitability for different forms of l
and use, which are part of most soil survey reports, are being used wi
dely. These interpretations are, however, essentially based on expert
judgement and they are inadequate to answer many modern questions abou
t ecological and environmental aspects of alternative forms of land us
e. Simulation modeling of solute transport and plant growth has become
an operational tool in land use studies and soil survey databases can
be an important source of basic soil and landscape information to be
used in modeling. Still, many data are not in a form that can be used
directly and an effort has to be made to transform soil survey data in
to a usable format, by developing pedotransfer functions. In discussin
g soil survey data, a distinction can be made between point- and area
data. Case studies for leaching of nitrates (NO3-) and growth of potat
o (Solanum tuberosum L.) in a loamy and clayey soil, illustrate use of
different types of class-pedotransfer functions for functional soil h
orizons. Monte Carlo techniques are used to illustrate the effect of v
ariability of hydraulic basic data on results obtained. Soil surveys d
efine soil data and interpretations for areas of land by considering '
'representative'' soil profiles for delineated areas on the map. Inter
nal variation is expressed only in qualitative terms. Geostatistical t
echniques can be used to interpolate point data to areas of land, allo
wing quantitative expressions including error statements. The effects
of upscaling of point data to cells of different sizes on leaching of
NO3- and growth of potato are illustrated for data derived from a Dutc
h field. All illustrations demonstrate the crucial role of Geographic
Information Systems (GIS) in storing and manipulating basic soil and l
andscape data.