Event

<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 &amp; 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 &amp; 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>