Tag: k-NN

The Shanghai Digital Twin: Resurrecting 152,902 Buildings

Shanghai moves into Blender: 152,902 buildings raised on real OSM footprints, 3.26 million vertices spread across ten collections; the 14.4 million towers without height tags are completed by a k-nearest-neighbors spatial model with a 2.9 m median error in five-fold cross-validation; satellite ground truth aligns at zero offset, and the GHS global height raster is rejected on the spot for a 0.14 correlation.