data-driven-designlisted

# 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. --- ## 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 | |---|---|---| | Site analysis | Walkthrough, photos | GIS layers, sensor grids, satellite imagery | | Program sizing | Rules of thumb | Occupancy analytics, utilization studies | | Circulation | Designer judgment | Space syntax integration/choice values | | Orientation | Sun path intuition | EPW-parsed radiation/temperature analysis | | Massing | Formal exploration | Daylight/energy simulation feedback loops | | Post-occupancy | Anecdotal feedback | Sensor-driven POE dashboards | Evidence-based design does not eliminate intuition. It provides a quantitative substrate on which creative decisions rest, making design rationale transparent, defensible, and reproducible. ### 1.2 Data as Design Input, Not Just Validati