By: Júlio Hoffimann
Re-posted from: https://juliohm.github.io/science/geodatascience/
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 writting 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 reading this book, you will:
- Get a broader perspective on geospatial data
- Learn advanced geostatistical algorithms
- Reproduce practical open source examples
Most importantly, you will learn a set of geospatial features
that is much richer than the
simple features
implemented in traditional geographic information systems (GIS).
If you would like to support the book,
consider starring it on GitHub:
https://github.com/JuliaEarth/geospatial-data-science-with-julia