  Generative systems are becoming a crucial part of current design practice.
There exist gaps however, between the digital processes, field data and
designer's input. To solve this problem, multiple processes were developed in
order to generate emergent and self-organizing design solutions that combine
the designer's input with surface models acquired via photogrammetry and
generative design tools. Different generative design methods were utilized for
trials, including surface scattering based on UV coordinates, animation
snapshots (similar to long exposure photography) and a particle swarm algorithm
on arbitrary data, interpolated within GIS software. A large volume of adaptive
forms that are complex, yet responsive to changes in parameters, user input,
topography and/or various spatial data were acquired. Resulting outputs were
rendered and projection mapped onto the original physical model and evaluated
for further iterations.
