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.

翻译：生成式系统正成为当前设计实践中至关重要的组成部分。然而，数字流程、实地数据与设计师输入之间仍存在差距。为解决这一问题，研究者开发了多种流程，旨在通过将设计师输入与摄影测量获取的曲面模型及生成式设计工具相结合，生成涌现性与自组织性设计方案。试验中采用了多种生成式设计方法，包括基于UV坐标的曲面散射、动画快照（类似长曝光摄影技术），以及基于地理信息系统软件内插值的任意数据粒子群算法。最终获得了大量形式复杂、却对参数变化、用户输入、地形及/或各类空间数据具有响应性的自适应形态。研究成果经渲染后通过投影映射至原始物理模型，并对其进行评估以开展后续迭代优化。