Perez Joan1, Fusco Giovanni1, Sadahiro Yukio2
Revue Internationale de Géomatique, Vol.31, No.2, pp. 303-328, 2022, DOI:10.3166/rig31.303-328
Abstract This paper presents different methods implemented with the aim of studying
urban dynamics at the building level. Building types are identified within a comprehensive
vector-based building inventory, spanning over at least two time points. First, basic
morphometric indicators are computed for each building: area, floor-area, number of
neighbors, elongation, and convexity. Based on the availability of expert knowledge, different
types of classification and clustering are performed: supervised tree-like classificatory model,
expert-constrained k-means and combined SOM-HCA. A grid is superimposed on the test
region of Osaka (Japan) and the number of building types per cell and More >
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