Visualize movement, conversation, and video data across space and time
The Interaction Geography Slicer (IGS) is an open-source, browser-based tool for creating interactive 2D/3D visualizations that reveal how spatial and multimodal interactions evolve over space and time.
Your data stays private. IGS runs entirely in your browser—no transcripts or videos are uploaded, stored, or transmitted.
- Micro-ethnographic analysis of gesture and embodied interaction
- Mid-scale analysis of movement and conversation in settings like classrooms, museums, and workplaces
- Large-scale analysis of urban mobility and spatial behavior
| Feature | Description |
|---|---|
| Browser-based | No installation required—runs entirely in your browser |
| 2D/3D Visualizations | Create dynamic space-time visualizations at different scales |
| Multi-modal Data | Explore movement, conversation, and video data simultaneously |
| Interactive Animations | Build dynamic animations to communicate your findings |
| Privacy-first | All data processing happens locally on your device |
| Qualitative Code Support | Annotate and analyze data with custom coding schemes |
Visit interactiongeography.org to start using IGS immediately.
# Clone the repository
git clone https://github.com/BenRydal/igs.git
# Navigate to project directory
cd igs
# Install dependencies
yarn install
# Start development server
yarn devOpen http://localhost:5173 in your browser.
IGS accepts CSV files with the following formats:
| Data Type | Required Headers | Example |
|---|---|---|
| Indoor Movement | time, x, y |
0, 100, 200 |
| GPS Movement | time, lat, lng |
0, 40.7128, -74.0060 |
| Conversation | time, speaker, talk |
5, Alice, Hello everyone |
| Codes (multi) | code, start, end |
teaching, 0, 30 |
| Codes (single) | start, end |
0, 30 (filename = code) |
You can also load:
- GPX/KML files for GPS tracks (must contain timestamps)
- Floorplan images (PNG, JPG) as background for indoor data
- Video (MP4, YouTube URL) synced to timeline
| Framework | SvelteKit + Svelte 5 |
| Visualization | p5.js |
| Styling | Tailwind CSS v4 + DaisyUI v5 |
| CSV Parsing | PapaParse |
| Package Manager | Yarn 4 |
# Development server
yarn dev
# Type checking
yarn check
# Lint and format
yarn lint
yarn format
# Production build
yarn build
yarn previewWe welcome contributions! Please see our Contributing Guidelines for details.
For major changes, please open an issue first to discuss your ideas.
Found a bug or have a suggestion?
- Open an issue on GitHub
- Submit feedback via our form
Developed by Ben Rydal Shapiro, Edwin Zhao, and contributors
Supported by the National Science Foundation
Collaborators Rogers Hall, David Owens, Christine Hsieh, Lani Horn, Brette Garner, Lizi Metts, and the TAU and SLaM research groups
- Classroom discussion data from Mathematics Teaching and Learning to Teach (MTLT), University of Michigan (2010)
- Classroom science lesson data from The Third International Mathematics and Science Study (TIMSS) 1999 Video Study
If you use IGS in your research, please cite:
Shapiro, B. R., Silvis, D., & Hall, R. (2025). Visualization as theory and experience: Interactive qualitative data visualization for the learning sciences. Journal of the Learning Sciences, 34(5), 840–871. https://doi.org/10.1080/10508406.2025.2537945
BibTeX
@article{shapiro2025visualization,
title={Visualization as theory and experience: Interactive qualitative data visualization for the learning sciences},
author={Shapiro, Ben Rydal and Silvis, Deborah and Hall, Rogers},
journal={Journal of the Learning Sciences},
volume={34},
number={5},
pages={840--871},
year={2025},
publisher={Taylor \& Francis},
doi={10.1080/10508406.2025.2537945}
}This project is licensed under the GNU General Public License v3.0.