Spatial modelling of morphological phenomena with taxonometric relationships using sub-optimal datasets

This paper has two main contributions: first, we describe a framework for spatial modelling of morphological phenomena with taxonometric relationships using sub-optimal datasets. Second, we apply it to our case study area in Central Europe , in order to train models that can expand the original urban classification in new contexts - countries, continents and places with missing data.