Lacunarity analysis is a multi-scaled method of determining the textur
e associated with patterns of spatial dispersion (i.e., habitat types
or species locations) for one-, two-, and three-dimensional data. Lacu
narity provides a parsimonious analysis of the overall fraction of a m
ap or transect covered by the attribute of interest, the degree of con
tagion, the presence of self-similarity, the presence and scale of ran
domness, and the existence of hierarchical structure. For self-similar
patterns, it can be used to determine the fractal dimension. The meth
od is easily implemented on the computer and provides readily interpre
table graphic results. Differences in pattern can be detected even amo
ng very sparsely occupied maps.