Public tutorial library
Data-driven methods for design students who need more than intuition.
This collection teaches GIS, AI, data visualization, and NLP as working design tools: ways to read territory, measure change, structure evidence, and communicate research with clarity.
26 tutorials across GIS, AI, data science, and NLP, written for architecture, landscape, urban, and research practice.
01
GIS and Remote Sensing
Terrain, imagery, climate, land cover, solar exposure, and spatial analysis for environmental and urban questions.
Digital Topography
Processing and visualizing elevation data for design contexts
GIS Workshop - Climate Data Visualization
Accessing and visualizing NASA climate data using Python, NetCDF, and Basemap
GIS Workshop - Terrain Analysis and Modeling
Creating 3D terrain models from USGS elevation data using QGIS and Rhino3D
Indexed Image Analysis
Working with indexed color images in GIS
Land Cover Classification
Classifying land cover types from satellite imagery
LiDAR Processing
Processing LiDAR point cloud data for 3D modeling
Multispectral Imagery
Analyzing multispectral satellite data for land studies
NASA Earth Observations
Accessing and visualizing NASA satellite data
Photogrammetry
Creating 3D models from photographic data
Sea Level Rise
Modeling sea level rise impacts on coastal areas
Solar Potential Analysis
Assessing solar energy potential using GIS data
Urban Heat Island Effect
Analyzing urban heat patterns using thermal imagery
02
AI for Design Research
Computational methods for working with text, images, prompting, and semantic structure as research material rather than novelty output.
From Spreadsheets to Scripts
A practical introduction to Python data workflows for design students
Mapping Meaning
How embeddings turn text collections into searchable semantic landscapes
Asking Better Questions
Prompt engineering as a research method for classification, summary, and analysis
Building a Visual Dataset
Collecting, organizing, and describing images with AI for design research
Finding Signal in Public Opinion
Using statistics and language models to analyze reviews at scale
Making Speech Searchable
Transcription and translation workflows for interviews, lectures, and recorded research
Designing with Many Voices
Using AI agents to compare competing perspectives on the same design issue
Turning Documents into Research
How to process large PDF archives into searchable, interpretable knowledge
Reading Movement
Using computer vision to observe bodies, behavior, and public space
03
Data Visualization and Data Science
Collection, cleanup, plotting, and interpretation workflows that turn raw information into readable arguments.
Data Science Intro - Installations
Setting up Anaconda, Pandas, Plotly, BeautifulSoup, and Jupyter for data science workflows
Data Visualization Part 1 - Webscraping and Visualization
Learn to scrape data from HTML, process it with BeautifulSoup, and visualize with Plotly
Data Visualization Part 2 - Processing the MoMA Collection
Intermediate data processing with Pandas, Plotly, and Regular Expressions using MoMA's open dataset
Data Visualization for History of Art and Design - Processing the MoMA Collection
Data visualization module tailored for HAD students using MoMA's open collection dataset
04
Natural Language Processing
Text cleaning, exploratory analysis, and computational reading methods for research that works with language as data.
Method
These tutorials are written for readers who need practical technical instruction, but also need to understand what data reveals, what it hides, and how design decisions change when evidence becomes legible.