Geospatial Data Science with Julia

less than 1 minute read

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:

  1. Get a broader perspective on geospatial data
  2. Learn advanced geostatistical algorithms
  3. 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:

Leave a Comment