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E.R. Diaz-Varela et al. 2010. Multiscale analysis of land use heterogeneity and dissimilarity
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Finally, the third consequence, related to the previous ones, derives from multi-scale effects in
the composition, configuration, and semantic structure of the landscape. Figure 4 shows how
high-contrast and low-contrast areas can be identified in a landscape, taking the map created
with the window size from which the stabilization trend is established, and using the mean value
of CWED as a reference. Nevertheless, for more detailed scales, possible points of conflict can
be detected as high-contrast areas. Such differences in dissimilarity among land cover can be
addressed in planning by the adoption of different strategies corresponding with the planning
spatial level. For instance, the general map can resemble a regional approach to heterogeneity
detection, while the more detailed scale can refer local effects. This kind of analysis presents a
powerful field of application when multi-scale strategies of planning are developed.
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