Dear all,
recently, I finished a study on clustering building blocks and combining blocks
to city districts of similar urban morphology.
The basis was 3D CityGML building data and additional 2d cadastral data from
Germany and the application of unsupervised (and supervised) machine learning
Awesome, glad you were able to get the result you needed. Just to be clear
though, you shouldn't need to manually copy the code
"df$pct[which.min(df$abs_diff)]" repeatedly for each dataframe. That I sent
just to explain what internally was happening when using sapply and the
function. If you
