A friend to fetch your data files
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Updated
Dec 6, 2024 - Python
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
Tutorials that integrate the Fatiando a Terra software to solve data problems in geoscience
Kernel functions for your geophysical models
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
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
Add a description, image, and links to the fatiando-a-terra topic page so that developers can more easily learn about it.
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