Individual skill

data-driven-design

GIS integration, sensor data, occupancy analytics, space syntax analysis, urban data analytics, climate data processing, and API data sources for evidence-based AEC computational design

skills/data-driven-design/SKILL.md

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Repository stars (not skill ratings): 226
Repository last updated: Mar 26, 2026
License: MIT

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data-driven Declared skill tag
gis Declared skill tag
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space-syntax Declared skill tag
occupancy Declared skill tag
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# Data-Driven Design

This skill provides comprehensive guidance on integrating quantitative data into every stage of the architectural and urban design process. It covers geospatial data, environmental sensing, occupancy analytics, spatial network analysis, climate processing, urban datasets, and the APIs that serve them. The goal is to replace intuition-only design with evidence-based reasoning while preserving creative agency.

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## 1. Data-Driven Design Philosophy

### 1.1 Evidence-Based vs. Intuition-Based Design

Traditional design relies heavily on precedent, aesthetic judgment, and professional intuition. These are valuable but unverifiable. Evidence-based design augments intuition with measurable inputs:

| Dimension | Intuition-Based | Evidence-Based |
|---|---|---|