Geospatial
JupyterGIS — Interactive, Collaborative, and Client-Side Geospatial Computing in JupyterLab
<p>Geospatial analysis and GIS workflows are traditionally tied to heavy desktop applications, steep learning curves, and complex toolchains. JupyterGIS transforms this paradigm by enabling fully interactive, browser-based GIS workflows inside JupyterLab. Researchers, educators, and developers can now visualize, analyze, and edit spatial data collaboratively, leveraging modern web technologies while retaining the power of native geospatial engines.</p>
<p>This talk presents how the Project Jupyter, WebAssembly, and GDAL communities collaborated to build a complete, interactive GIS environment for both desktop and browser platforms. JupyterGIS integrates OpenLayers, GDAL compiled to WebAssembly, and Python or non-Python kernels to deliver:
- Real-time collaborative editing of GIS datasets, including QGIS formats
- Fully client-side geospatial analysis pipelines with raster and vector support
- Customizable symbology and interactive visualizations, including graduated, categorized, and multi-band styling
- Notebook integration for embedding, documenting, and sharing workflows
- Support for cloud-based and local spatial datasets, as well as STAC asset catalogs</p>
<p>Technical Highlights:
- WebAssembly (WASM): GDAL compiled to WASM enables high-performance spatial operations directly in the browser, without server dependencies.
- Collaborative Editing: Built on Jupyter’s collaborative document model (PyCRDT & Y.js), multiple users can edit layers simultaneously with conflict-free synchronization.
- Extensible Architecture: Modular command system allows custom tools, plugins, and integration with Python or other kernels.
- Integration with Modern Stacks: Seamless support for xarray, Pangeo ecosystem, and upcoming features like story maps and R kernel integration.</p>
<p>Demos & Use Cases:
- Interactive vector and raster layer editing with live symbology updates
- Performing geospatial analysis entirely in-browser using GDAL WASM pipelines
- Collaborative multi-user editing sessions with conflict-free layer management
- Story maps and visualization dashboards for environmental, policy, and STEM applications</p>
<p>Target Audience:
Researchers, educators, geospatial developers, students, and open source enthusiasts interested in GIS, WebAssembly, or interactive computing.</p>
Additional information
| Live Stream | https://live.fosdem.org/watch/h1301 |
|---|---|
| Type | devroom |
| Language | English |
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