Measuring Scale-Dependent Landscape Structure with Rao’s Quadratic Diversity

摘要: In this paper, we apply a special application of the Rao quadratic diversity for multiscale analysis land use changes in mixed agricultural-forest landscape Central Italy. The proposed approach is similar to block-size compositional which given overlaid with series square grids composed increasingly larger boxes. combination cover classes each box recorded, and computed frequency distribution at box-size. Plotting versus box-size provides information on scale-dependent pattern landscape. Since methodology not severely influenced by co-registration accuracy underlying data sets, it may prove be reasonably adequate analyzing historical sets varying resolution quality, like aerial photographs or categorical maps.