In creating soil layer models for our study site, we were challenged (i) to
express vagueness of our soil data, while at the same time maintaining adh
erence to systematic classification principles, and (ii) to describe contin
uously the spatial distribution of soil materials and layers in three dimen
sions. We developed a method to create 3-dimensional (3-D) continuous soil
layer models describing the distribution of soil materials, reworked loess
vs. glacial till. Soil attribute data such as texture, bulk density and wat
er content, in combination with penetration resistance obtained with a prof
ile cone penetrometer on a 10-m arid, were used to describe soil materials
and layers. We compared crisp hierarchical clustering with fuzzy k-mean cla
ssification in creating soil layer models for a 2.73-ha site in southern Wi
sconsin. The continuous 3-D soil layer models were developed using horizont
al ordinary kriging and vertical linear interpolation. Validation proved th
at the crisp 3-D soil layer model predicted soil layers more accurately tha
n the fuzzy 3-D soil layer model. We conclude that at the working scale, th
e crisp classification is superior to the fuzzy classification. (C) 2001 El
sevier Science B.V. All rights reserved.