The application of geostatistics to plant nematology was made by evalu
ating soil and nematode data acquired from 200 soil samples collected
from the A(p) horizon of a reed canary-grass field in northern Minneso
ta. Geostatistical concepts relevant to nematology include semi-variog
ram modelling, kriging, and change of support calculations. Soil and n
ematode data generally followed a spherical semi-variogram model, with
little random variability associated with soil data and large inheren
t variability for nematode data. Block kriging of soil and nematode da
ta provided useful contour maps of the data. Change of support calcula
tions indicated that most of the random variation in nematode data was
due to short-range spatial variability in the nematode population den
sities.