Figure 2: Application of the concept of information entropy to visualize uncertainties in a spatial context: (a) subdivision of a map of uncertain members into a regular
grid; (b) probabilities of possible outcomes for each member in each cell; (c) map of information entropies for each cell, where the entropy is 0 when no uncertainty
exists (i.e. one member has the probability 1) and the entropy is highest when all members are equally probable. (adopted from Wellmann and Regenauer-Lieb, 2011). |