JupyterGIS breaks through to the next level (eo4society.esa.int)

Looks great! What visualization backend is used? Is it GPU accelerated?

Question from the ignorant, how does this relate to OpenStreetMap?

You can try JupyterGIS live on this deployment powered by JupyterLite - https://jupytergis.readthedocs.io/en/latest/lite/lab/

> Collaborative GIS Environment: Work together on geographic data projects in real-time.

What does this mean? How is it collaborative in real-time? (I don't even know how Jupyter is collaborative... as in, several people can open a Jupyter Notebook and make changes simultaneously, and things don't break for either of them?)

I don't see any advantage working on JupyterGIS over working in QGIS.

The Jupyter notebooks in ArcGIS pro are incredibly useful. Unfortunately it's in Arcgis Pro. I'm thrilled to have the similar setup that's not tied to a slow subsription software. Coding assistants also work pretty well at doing GIS in python.

There's something wrong with the scrolling on this page, like something "puts the brakes on" (Chrome, macOS)

This looks great.

I do yearn for a day though when we're using something like Marimo over Jupyter as a default for these kinds of things. Particularly in GIS where there's more utility in being able to use a notebook-like interface for an executable routine (rather than an analysis or experiment, which is (and should probably remain) the primary use case for Jupyter).

> One of the most significant updates is a new browser-based processing toolbox powered by a WebAssembly (WASM) build of the Geospatial Data Abstraction Library (GDAL).

> Available tools include:

> Buffer, Convex Hull, Dissolve, Bounding Boxes, Centroid, Concave Hull

Why would they want to calculate these from WASM in the browser instead of calling out to the Python kernel?

Looks nice. Hopefully this is one more geospatial jenga piece removed from the current dominance of buggy, ancient closed source software like Google Earth and ESRI.

I'm beyond excited to see this as a refugee from esri's products. The only reason I still use anything esri is due to their layout tools. Nightmarish as they are, it's still the best way to print or export a map to pdf. I'd like to see some advances in that area though I would bet money that Jupyter's architecture isn't adequate for those use cases.