Supplementary material for "Gradient-boosted equivalent sources"

This paper has been accepted for publication in Geophysical Journal International.

The version of record is available at doi.org/10.1093/gji/ggab297

A preprint version is available on EarthArXiv at doi.org/10.31223/X58G7C

This is a snapshot of the git repository hosted by GitHub:

https://github.com/compgeolab/eql-gradient-boosted

We present the gradient-boosted equivalent sources: a new methodology for interpolating very large datasets of gravity and magnetic observations even on modest personal computers, without the high computer memory needs of the classical equivalent sources technique. This new method is inspired by the gradient-boosting technique, mainly used in machine learning solutions.

All source code is made available under a BSD 3-clause license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors. See LICENSE.md for the full license text.

Data and the results of numerical tests are available under the Creative Commons Attribution 4.0 License (CC-BY).

The manuscript text and figures are not open source. The authors reserve the rights to the article content