Isarithmic analysis, a cartographic technique, was used for mapping tw
o structurally distinct forest fire fuelbeds. Method-produced errors a
nd statistical validity of isarithmically-created surfaces for fuel lo
adings and depths were determined and analyzed. The isarithmic method-
produced error is a function of data sampling scheme, spatial interpol
ation model, and spatial variability of the phenomenon mapped. Using a
n unaligned stratified random design and kriging interpolation, error
produced by the isarithmic method was proportional to (sample size)-0.
20 times an intercept coefficient that directly reflected variance of
each fuel parameter interpolated. As a result, the magnitude of error
decreased, at a decreasing rate, with increasing sample size; fuel par
ameters that exhibited high spatial variability also had higher magnit
udes of error due to larger intercept values. Four or nine sample poin
ts were too few for use in the isarithmic mapping of the fuel types ex
amined and a minimum of sixteen points was required. The analytical sc
heme presented here could yield more reliable information on the eleme
nts that compose the forest fire environment.