12-02, 09:00–13:00 (America/Belem), Room Mangueirão (C Block)
Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practices for writing clean, readable and performant code in geoscientific applications involving sophisticated representations of the (sub)surface of the Earth such as unstructured meshes made of 2D and 3D geometries.
By attending this workshop, you will:
- Get a broader perspective on geospatial data
- Learn advanced geostatistical algorithms
- Reproduce practical open source examples
with the authors and developers of the GeoStats.jl framework.
Software installation
We highly recommend installing the software before the workshop:
- Julia Programming Language (version v1.11)
- VSCode Integrated Development Environment (IDE)
- Julia extension for VSCode IDE
- Project files and data
You can find detailed instructions here.
Mr. Hoffimann has more than 10 years of experience developing advanced statistical software for geosciences. He is the creator and lead developer of the GeoStats.jl framework, as well as various other open source projects that are widely used by geoscientists worldwide.
His career goals include:
- Advancing the field of machine learning and artificial intelligence to account for challenges that are unique to geosciences
- Establishing new methodologies for uncertainty quantification and decision making involving the use of natural resources in the planet
To achieve these goals, he founded Arpeggeo®, a software company that offers consulting services and high-performance products written in the Julia programming language.