A friend to fetch your data files

Processing and gridding spatial data, machine-learning style

Forward modeling, inversion, and processing gravity and magnetic data

Source code, data, and model results for "Fast non-linear gravity inversion in spherical coordinates with application to the South American Moho". Published in the Geophysical Journal International.

Reference ellipsoids for geodesy and geophysics

NOTICE: This library is no longer being developed. Use Ensaio instead (https://www.fatiando.org/ensaio). -- Download geophysical models/datasets and load them in Python

Practice datasets to probe your code

Paper: Gradient-boosted equivalent sources method for interpolating very large gravity and magnetic datasets

Material for the Verde tutorial at Transform 2020

Kernel functions for your geophysical models

Tutorials that integrate the Fatiando a Terra software to solve data problems in geoscience

Manuscript and code for tesseroid gravitational modeling using variable density distributions

Source code, data and manuscript for an article published in Geophysics titled: The monogenic signal of potential-field data: A Python Implementation

Inspect Python package dependencies

Modeling and inversion of magnetic microscopy data 🧲🔬

DISCONTINUED. Elastic multi-component interpolation of GPS/GNSS ground displacement.

DEPRECATED: Datasets were moved to https://github.com/fatiando-data | Curated sample geoscience data for documentation and tutorials. This repository contains code for downloading and formatting the data for redistribution.

Seminar given at the Department of Earth Sciences of the University of Hawaii at Manoa

Case study for stripping out fatiando.mesher into a new package

Check and insert copyright and license notices into source code