GeoStats.jl: An extensible framework for high-performance geostatistics
2021-09-28, 14:00–18:00, Rigoberta Menchú

Geostatistics is the branch of statistics developed for geospatial data. GeoStats.jl is a state-of-the-art implementation of various geostatistical methods for high-performance estimation (e.g. interpolation), simulation, and learning over general unstructured meshes. In this workshop, we will learn how to easily define and solve geostatistical problems in GeoStats.jl using modern interactive Pluto notebooks and the Julia programming language.


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Software links:


Authors and Affiliations

Júlio Hoffimann (1)

(1) Instituto de Matemática Pura e Aplicada (IMPA), Brazil

Level

1 - Principiants. No required specific knowledge is needed.

Requirements for the Attendees
  • Julia v1.6 or a higher version of the language
  • Basic programming skills (function definition, conditional statements)
  • Basic knowledge of math and statistics (probability, correlation)

Júlio is the author and lead developer of GeoStats.jl as well as various other open source projects used by the geosciences community: https://github.com/juliohm. For more details, please check his website: https://juliohm.github.io