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Add core meeting notes 2026-02-10 (#51)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Matt Fisher <3608264+mfisher87@users.noreply.github.com>
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---
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title: "GeoJupyter core community meeting"
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description: |
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A monthly gathering of the GeoJupyter core community. Open to all!
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date: "2026-02-10"
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image: "../images/community-meeting.jpg"
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author:
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- name: "The GeoJupyter community"
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categories:
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- "Meeting notes"
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tags: [meeting-notes]
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---
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# GeoJupyter core community meeting (2026-02-10)
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Please add new agenda items under the `New agenda items` heading!
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- [Join us on Zoom](https://berkeley.zoom.us/j/99659397059?pwd=519zZJlcAa1TCyJWRYyYbaYDfuaXNo.1)
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- [What time is the meeting in my time zone?](https://dateful.com/convert/utc?t=3pm)
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- [Previous meetings](https://compass.geojupyter.org/meeting-notes/)
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- [GeoJupyter](https://geojupyter.org) handy links:
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- [GitHub org](https://github.com/geojupyter)
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- [Community calendar](https://geojupyter.org/calendar.html)
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- [Zulip chat](https://jupyter.zulipchat.com/#narrow/channel/471314-geojupyter)
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## Attendees
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Your name / GitHub ID / affiliation / icebreaker
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* Matt Fisher / `@mfisher87` / Schmidt DSE
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* Esha / e5ha / UC Berkeley
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* Benny / benjaminszeghy / UC Berkeley
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### New agenda items
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- [ ] [jupyter-xarray-tiler](https://jupyter-xarray-tiler.readthedocs.io/)
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- The idea: A toolkit for developers of Jupyter interactive map widgets (ipyleaflet, leafmap, folium, ipyopenlayers) to add support for visualizing Xarray datasets without writing to a file (the typical approach). Uses TiTiler (maybe eventually xpublish-tiles) to serve map tiles. Uses jupyter-server-proxy to enable the JS map app to access the tiles regardless of where Jupyter is running ([needs testing](https://github.com/geojupyter/jupyter-xarray-tiler/issues/21)).
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- Is this a good idea? Leafmap currently [has tooling for visualizing Xarray datasets ](https://leafmap.org/common/?h=array_to_memory_file#leafmap.common.array_to_memory_file), but it seems to write the entire array to a memory file to make this work. Does the tiler approach work better on constrained systems (e.g. JupyterHub)?
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- Benny: E.g. on a 4GB JupyterHub instance, would the memory file approach crash the server?
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- Benny: Will find a huge raster for testing!
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- TODO: Compare with other approaches! https://github.com/geojupyter/jupyter-xarray-tiler/issues/22
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- Esha & Benny: Will try some other approaches together tomorrow!
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- Demo
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- [ ] More clear onramps for new community members
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- Common question: "I want to get involved, but I don't know where to start!"
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- How can we better surface startable issues for new community members?
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- How can we better direct folks to this location :point_up: How can the website change to serve this need?

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