The built form of cities is a synthesis of various aspects including climate, culture, and economics, presenting a challenge in the analysis of urban morphology. The ‘plot’ has been used as the basic unit of analysis which aggregates formal and relational attributes essential to urban morphological analysis. The recently introduced Morphological Tessellation (MT) method automatically generates morphological units from building profiles, using a Voronoi Tessellation (VT). However, the generation of higher quality tessellation results relies on resource-intensive computing and careful configuration of proper parameter presets. To address this issue, this paper introduces an adaptive tessellation workflow based on the improvement of a specific tessellation pattern near closely aligned buildings. This paper then discusses a method to incorporate linear guides to control the tessellation outcome, allowing for increased control over the shape of the outcome of MT. The workflow is realised in a Grasshopper Assembly developed for Rhinoceros 3D in C#. This workflow proves to generate geometrically desirable outcomes with substantially reduced computational workload.

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Optimising Urban Morphological Tessellation: Methodological Advancements Using Adaptive Tessellation and Guided Triangulation

  • Chengxuan Li,
  • Xingyu Liu

摘要

The built form of cities is a synthesis of various aspects including climate, culture, and economics, presenting a challenge in the analysis of urban morphology. The ‘plot’ has been used as the basic unit of analysis which aggregates formal and relational attributes essential to urban morphological analysis. The recently introduced Morphological Tessellation (MT) method automatically generates morphological units from building profiles, using a Voronoi Tessellation (VT). However, the generation of higher quality tessellation results relies on resource-intensive computing and careful configuration of proper parameter presets. To address this issue, this paper introduces an adaptive tessellation workflow based on the improvement of a specific tessellation pattern near closely aligned buildings. This paper then discusses a method to incorporate linear guides to control the tessellation outcome, allowing for increased control over the shape of the outcome of MT. The workflow is realised in a Grasshopper Assembly developed for Rhinoceros 3D in C#. This workflow proves to generate geometrically desirable outcomes with substantially reduced computational workload.