When comparing maps to decide which map is better for a given application,
the measure on which the comparison is based should represent the value or
utility of the map to the intended application. Several map value measures
are presented which employ user-selected weights to reflect the utility of
the map to project objectives. Map value measures may be derived from eithe
r user's or producer's accuracy, or from the information in the full error
matrix. Some commonly used map comparison measures such as the overall prop
ortion of area correctly classified, average user's accuracy, and the tau c
oefficient of agreement are shown to be interpretable as measures of map va
lue, thus illustrating that comparisons based on these measures also employ
a weighting scheme. Although not interpretable as a map value measure, the
kappa coefficient, is also evaluated for use in comparing maps.