Source code, data and manuscript for an article published in Geophysics titled: The monogenic signal of potential-field data: A Python Implementation
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Updated
Mar 15, 2017 - Python
Source code, data and manuscript for an article published in Geophysics titled: The monogenic signal of potential-field data: A Python Implementation
Case study for stripping out fatiando.mesher into a new package
Seminar given at the Department of Earth Sciences of the University of Hawaii at Manoa
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.
Paper: Gradient-boosted equivalent sources method for interpolating very large gravity and magnetic datasets
Manuscript and code for tesseroid gravitational modeling using variable density distributions
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.
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
Material for the Verde tutorial at Transform 2020
DISCONTINUED. Elastic multi-component interpolation of GPS/GNSS ground displacement.
Check and insert copyright and license notices into source code
Practice datasets to probe your code
Tutorials that integrate the Fatiando a Terra software to solve data problems in geoscience
Modeling and inversion of magnetic microscopy data 🧲🔬
Processing and gridding spatial data, machine-learning style
Kernel functions for your geophysical models
Forward modeling, inversion, and processing gravity and magnetic data
Reference ellipsoids for geodesy and geophysics
A friend to fetch your data files
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