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JupyterGIS 0.16: Collaborative story maps and remote geospatial workflows

JupyterGIS 0.16: Collaborative story maps and remote geospatial workflows

Data Jupyter
JupyterGIS 0.16 introduces real-time collaborative story maps and remote-first geospatial workflows using lazy tile rendering.
What: JupyterGIS 0.16 enables collaborative editing of interactive maps and adds native support for GeoZarr and GeoPackage, allowing users to analyze large datasets without loading them fully into local memory.
Why it matters: Transitioning from local materialization to remote-first geospatial processing allows for higher-performance visualization of datasets that exceed available RAM.
Decoder
  • GeoZarr: A cloud-optimized format for storing large geospatial multidimensional arrays.
  • Xarray: A library for working with labeled multi-dimensional arrays, common in geospatial analysis.
Original article

JupyterGIS 0.16 adds real-time collaborative story maps, lazy tile rendering for remote openEO workflows, and native GeoZarr and GeoPackage support. Declarative symbology and Xarray tiling keep visualizations reproducible while allowing large geospatial datasets to stay remote instead of being materialized locally.

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