GENERATIVE URBAN INTELLIGENCE v7 Surface-Aware, Performance-Driven City Systems THE WICKERSON WAY
๐ฆ PRODUCT NAME
GENERATIVE URBAN INTELLIGENCE v7
Surface-Aware, Performance-Driven City Systems
THE WICKERSON WAY
๐ง WHAT THIS PRODUCT IS
A fully modular, surface-aware urban generation system built in Grasshopper C#, designed to move from:
Intent โ Fields โ Behavior โ Architecture โ Export
This is not a single script.
It is a complete algorithmic framework you can:
- teach
- extend
- monetize
- adapt to real sites
- connect to BIM / GIS / Web pipelines
๐งฉ INCLUDED STEP MODULES (FINAL SET)
๐ TERRAIN & INTENT
- STEP_02b_v7 โ Seed Point Generation (program, access, origins)
- STEP_03a_v7 โ Attractor Point Logic (intent geometry)
- STEP_03b_v7 โ Performance Field Geometry (scalar fields)
๐ถ BEHAVIOR
- STEP_04a_v7 โ Surface-Following Path Extraction
- STEP_04b_v7 โ Surface-Following Agent Simulation
๐๏ธ URBAN LOGIC
- STEP_05_v7 โ Network Hierarchy & Zoning Domains
- STEP_06_v7 โ FAR Control, Stepbacks & Buildable Plates
๐๏ธ ARCHITECTURE
- STEP_07_v7 โ Cores & Vertical Circulation
- STEP_07b_v7 โ Structural Grids & Columns
- STEP_08_v7 โ Envelope Articulation
- STEP_08b_v7 โ Performance-Driven Faรงade Modulation
๐ค EXPORT
- STEP_09_v7 โ IFC / GIS / JSON Serialization
๐ง CORE DESIGN PRINCIPLES (THE WICKERSON WAY)
- Surface-aware everything
- No floating agents, no orthogonal drift
- Fields drive form
- Scalar intelligence โ geometry modulation
- No fragile operations
- โ Booleans
- โ Curve offsets
- โ Face indexing chaos
- Data-first architecture
- Geometry is never the final product โ data is
- Pedagogically explicit
- Every STEP is isolated, inspectable, and teachable
๐๏ธ FOLDER STRUCTURE (DISTRIBUTION READY)
WICKERSON_GenerativeUrbanIntelligence_v7/
โ
โโ 00_README/
โ โโ INSTALLATION.md
โ โโ PIPELINE_OVERVIEW.pdf
โ โโ VERSION_HISTORY.md
โ
โโ 01_SCRIPTS/
โ โโ STEP_02b_SeedPts.gh
โ โโ STEP_03a_Attractors.gh
โ โโ STEP_03b_PerformanceField.gh
โ โโ STEP_04a_Paths.gh
โ โโ STEP_04b_Agents.gh
โ โโ STEP_05_Hierarchy.gh
โ โโ STEP_06_FAR_Plates.gh
โ โโ STEP_07_Cores.gh
โ โโ STEP_07b_Structure.gh
โ โโ STEP_08_Envelope.gh
โ โโ STEP_08b_FacadePerformance.gh
โ โโ STEP_09_Export.gh
โ
โโ 02_CFG_PRESETS/
โ โโ Urban_Dense.cfg
โ โโ Campus_Loose.cfg
โ โโ Waterfront.cfg
โ โโ Hillside.cfg
โ โโ Teaching_Default.cfg
โ
โโ 03_SAMPLES/
โ โโ Sample_Terrain.3dm
โ โโ Sample_Output.3dm
โ โโ Sample_Export.json
โ
โโ 04_DIAGRAMS/
โ โโ STEP_FLOW_DIAGRAM.png
โ โโ DATA_DEPENDENCY_MAP.png
โ โโ FIELD_TO_FORM.png
โ
โโ 05_LICENSE/
โโ Wickerson_Studios_License.txt
๐ผ PROFESSIONAL USE CASES
- Urban masterplanning
- Campus design
- Landscape-urban hybrids
- Smart city simulations
- GIS-driven feasibility studies
- Concept-to-BIM pipelines
- Web-based city visualization
๐ BLURB POST
Generative Urban Intelligence v7 is a complete, surface-aware urban design system built in Grasshopper C#.
It translates programmatic intent and environmental performance into paths, buildings, structure, envelopes, and exportable data โ without fragile booleans or black-box solvers.
Designed for architects, urban designers, computational designers, and educators, this system embodies The Wickerson Way: explicit logic, deep structure, and real-world applicability.
Includes 12 modular STEP scripts, CFG presets, sample files, and export pipelines for IFC, GIS, and JSON.
๐ฎ VERSIONING & FUTURE EXTENSIONS
- v7.1 โ Solar / wind true analysis
- v7.2 โ Multi-parcel FAR pooling
- v8.0 โ Real-time web deployment (BeeGraphy / WebGPU)
- v8.x โ Agent-driven structural optimization
- v9.0 โ AI-assisted zoning intelligence
๐ง FINAL STATEMENT
This is not a script collection.
It is:
- a methodology
- a pedagogy
- a professional system
- a product
- a signature
We've built something coherent, extensible, and genuinely valuable.