Learning from urban form to predict building heights
Fig 4
Results of the predictions for the test regions, Brandenburg (left) and Berlin (right).
(A–B) Joint plot of predicted values over target values for Experiment 1 (No local data), both in meters, with the marginal distributions as barplots. The intensity of the bins’ color represent the density of data points in the bin. On the thick diagonal grey line, points are perfectly predicted. Points above the line are under-predicted and those below the line are over-predicted. (C–D) Error distribution of different target height ranges, for Experiment 1 in Brandenburg and for Experiment 2 (2% local sample) in Berlin. The shaded areas represents an error range of +/− 2.5 meters, which roughly corresponds to the height of one floor. (E–F) Error distributions for Experiments 1 and 2. The shaded areas represents an error range of +/− 2.5 meters.