CollaGen: Collaboration between automatic cartographic Generalisation Processes - Advances in Cartography and GIScience - page 543

and Weibel 1988). Inspired from (Regnauld 2007) and (Duchêne and
Gaffuri 2008), the CG framework we define aims at allowing an answer to
the question why , when and how to apply which automatic process? Within
this framework, automatic generalisation processes are applied on parts of
space where they are expected to be efficient while side effects are likely
managed at generalisation neighbourhood ( Figure 1 ).
Figure 1: The collaboration principle between generalisation processes. A process 1 is car-
ried out on the town area, a process 2 on the rural area, and then a process 3 on the
mountain area and finally a process 4 is carried out on the road network. Side effects are
corrected at the neighbourhood (dashed arrows) of application spaces.
2.2 Overview of CG Framework Components
Generalising data within the CG framework brings about specific problems
like process interoperability, treatment heterogeneity or side effects (Touya
2008). The framework function analysis lead to a six main components
and three resources groups structure ( Figure 1 ). Partitioning builds the geo-
graphic spaces where the available generalisation processes can be
applied. The Translator parameterises the processes. The Registry chooses
the process to generalise a given space. The Observation provides online
evaluation. Side effects are managed by the eponymous component.
Finally, the Scheduling Component orchestrates the whole process.