animation in Processing
Utilizing the Central Place Theory as a logical framework within which the multi-layered networks self-organize based on local rules & information exchanges. Each individual place attracts certain urban activities which are simulated by multi-layered agents’ movements which together form into swarm behaviors in a 2D urban context.
Meanwhile, those swarm behaviors trigger the possibility of emergence based on the procise calculation of popolarities to agents and densities of places. The dynamic distribution of the multi-layered networks somehow reflect the local logic of the city growth, because that the swarm behaviors follow the rules with values/weights abstracted from reality.
Path Optimization Study
Programing Planning Testing
Massing Study
Part of Processing codes and libraries was contributed by Roland Snooks (Kokkugia).
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