Context awareness and typification in building generalisation

The objective of this thesis is the development of an automated process to perform the generalisation of buildings from 1:5000 to 1:50000 scale. The strategy adopted is applied to partitions of the dataset (blocks) and differs between urban and rural context; ad-hoc typifcation algorithms have been developed to cope with high-density blocks, medium-density blocks and spatial patterns. Low-density blocks that do not fitt the previous classifications are treated with a best-effort approach