JuliaCon 2025

Modern global geospatial workflows are ill-served by our current conception of planar geometry. In GeometryOps.jl, we have added support for operations natively on the sphere (the space S²), akin to Google's s2 library. This allows us to treat lines as great-circle arcs without subsampling, and calculations like area and intersection are natively non-approximate. This enables fast and substantially more accurate global operations, especially on areas of particular interest like the poles.

Our world today is defined by big data; the output of a single satellite orbit is larger than your laptop's hard drive. The canonical way to analyze "big earth observation datasets" has always been to throw it on a cluster and let it run overnight. But what if it didn't have to be?

With RangeExtractor.jl, you can run queries over huge gridded datasets on a laptop, without storing the data locally. Loading and processing is batched by chunks, either defaults from the dataset, or from the user

Tyler.jl is a Makie ecosystem package that enables plotting tiled datasets, like Google Maps and many other basemaps. In the last few years, it's also gained 3D capability, and can plot colored elevation data in 3D and on GeoMakie's projected GeoAxis. Progress is also under way to allow Tyler to plot arbitrary user-provided datasets or pyramid overviews.

In this talk, we'll dissect how Tyler works and how you can use it (and abuse it!)

Documenter.jl is the primary documentation engine for Julia, and powers backends ranging from native HTML and LaTeX to the spiffy DocumenterVitepress.jl. In this talk, we'll explore the structure of a Documenter.jl "document", and how to modify it and hook into Documenter.jl to your own (evil) ends!

We'll explore how Documenter's abstractions are structured, the build and extension pipelines, as well as how to define and implement a custom Documenter block.

An hour for users of Makie.jl to gather, show off cool plots, and talk about the state of the Makie ecosystem!