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<!DOCTYPE html>
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<section class="tex2jax_ignore mathjax_ignore" id="fatiando-a-terra">
<h1>Fatiando a Terra</h1>
<p class="banner-description">An open toolbox for the Geosciences</p>
<p>Fatiando provides <i class="fab fa-python"></i> <strong>Python libraries</strong> for data
processing, modeling, and inversion across the Geosciences.</p>
<p>It is built by a <strong>community</strong> of geoscientists and software developers with
a passion for well-designed tools and helping our peers.</p>
<p>All of our code is <strong>free and open-source</strong>, distributed under the permissive
<a class="reference external" href="https://opensource.org/licenses/BSD-3-Clause">BSD 3-clause license</a>.</p>
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<h2 id="libraries" class="text-center">Meet our libraries</h2>
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<a class="d-flex flex-column align-items-center text-decoration-none" href="#verde">
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Verde
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Pooch
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Harmonica
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Boule
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Choclo
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Ensaio
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<h2>Getting started</h2>
<p><i class="fas fa-eye"></i>
<strong>Looking for an overview?</strong>
Watch <a class="reference external" href="https://www.youtube.com/watch?v=z-5dvWfB_SM&t=850s">this recorded example</a> (~20 min) that uses our tools to
process public domain gravity data from the Bushveld Complex in South Africa.</p>
<p><i class="fas fa-code"></i>
<strong>No time for a video?</strong>
You can also just browse <a class="reference external" href="https://nbviewer.jupyter.org/github/leouieda/2021-06-22-gfz/blob/main/demo.ipynb">the code in the Jupyter notebook</a> used in
the example.</p>
<p><i class="fab fa-python"></i>
<strong>New to Python?</strong>
Checkout these <a class="reference internal" href="learn/index.html#learn"><span class="std std-ref">links to excellent free resources</span></a> for starting
your Scientific Python journey.</p>
<p><i class="fas fa-flask"></i>
<strong>Used Fatiando for research?</strong>
Please <a class="reference internal" href="cite/index.html#cite"><span class="std std-ref">cite us</span></a> in your publications.</p>
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<p>Recording of a talk about using Fatiando for gravimetry with a live demo of the
software.
Source code for the demonstration:
<i class="fab fa-github ms-1"></i>
<a class="reference external" href="https://github.com/leouieda/2021-06-22-gfz">leouieda/2021-06-22-gfz</a></p>
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<section id="verde-gridding-machine-learning-style">
<span id="verde"></span><h2><strong>Verde:</strong> Gridding, machine learning style</h2>
<p>Verde offers <strong>spatial</strong> data processing and <strong>interpolation</strong> (gridding) with
a sprinkling of machine learning.</p>
<div class="project-info">
<ul class="simple">
<li><p><i class="fa fa-check fa-fw" style="color: green" title="Project status"></i> Stable and ready for use</p></li>
<li><p><i class="fab fa-github fa-fw" title="GitHub repository"></i> Code: <a href="https://github.com/fatiando/verde">fatiando/verde</a></p></li>
<li><p><i class="fas fa-box-open fa-fw" title="Latest version"></i> Latest version: <a class="reference external" href="https://pypi.org/project/verde">v1.8.0</a></p></li>
<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.21105/joss.00957">10.21105/joss.00957</a></p></li>
</ul>
</div>
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Verde documentation
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<img class="mb-3" src="_static/verde-spline-example.png">
Vertical ground velocity in California interpolated from GPS data with and
without weights based on data uncertainty.
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<section id="pooch-easily-download-datasets">
<span id="pooch"></span><h2><strong>Pooch:</strong> Easily download datasets</h2>
<p>Pooch is the easiest way to <strong>download data files</strong> to your computer.
It is used to manage sample data downloads not only by our own tools but also
other popular Scientific Python libraries:
<a class="reference external" href="https://github.com/scikit-image/scikit-image">scikit-image</a>,
<a class="reference external" href="https://github.com/scipy/scipy">SciPy</a>,
<a class="reference external" href="https://github.com/Unidata/MetPy">MetPy</a>,
<a class="reference external" href="https://github.com/pydata/xarray">xarray</a>,
<a class="reference external" href="https://github.com/SHTOOLS/SHTOOLS">SHTOOLS</a>,
<a class="reference external" href="https://github.com/pytroll/satpy">satpy</a>,
<a class="reference external" href="https://github.com/icepack/icepack">icepack</a>,
<a class="reference external" href="https://github.com/histolab/histolab">histolab</a>,
<a class="reference external" href="https://github.com/yt-project/yt">yt</a>,
<a class="reference external" href="https://github.com/napari/napari">napari</a>,
and <a class="reference external" href="https://github.com/fatiando/pooch/network/dependents">more</a>.</p>
<div class="project-info">
<ul class="simple">
<li><p><i class="fa fa-check fa-fw" style="color: green" title="Project status"></i> Stable and ready for use</p></li>
<li><p><i class="fab fa-github fa-fw" title="GitHub repository"></i> Code: <a href="https://github.com/fatiando/pooch">fatiando/pooch</a></p></li>
<li><p><i class="fas fa-box-open fa-fw" title="Latest version"></i> Latest version: <a class="reference external" href="https://pypi.org/project/pooch">v1.8.0</a></p></li>
<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.21105/joss.01943">10.21105/joss.01943</a></p></li>
</ul>
</div>
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<button type="button" class="btn btn-secondary mb-3">
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Pooch documentation
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</div> <!-- column -->
<div class="col-md-5 order-md-first">
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pooch</span>
<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
<span class="c1"># The Digital Object Identifier of the data</span>
<span class="n">doi</span> <span class="o">=</span> <span class="s2">"10.6084/m9.figshare.13643837"</span>
<span class="c1"># Known MD5 checksum (from figshare)</span>
<span class="n">checksum</span> <span class="o">=</span> <span class="s2">"md5:16c94a792003714efee2bdb4f3181d3a"</span>
<span class="c1"># Download the netCDF file and check integrity</span>
<span class="n">fname</span> <span class="o">=</span> <span class="n">pooch</span><span class="o">.</span><span class="n">retrieve</span><span class="p">(</span>
<span class="n">url</span><span class="o">=</span><span class="sa">f</span><span class="s2">"doi:</span><span class="si">{</span><span class="n">doi</span><span class="si">}</span><span class="s2">/australia-ground-gravity.nc"</span><span class="p">,</span>
<span class="n">known_hash</span><span class="o">=</span><span class="n">checksum</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># fname is the path to the file</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">load_dataset</span><span class="p">(</span><span class="n">fname</span><span class="p">)</span>
</pre></div>
</div>
<p class="text-center fs-6">
Running this code multiple times will only result in a single download
because the data are cached where Pooch can find it.
</p>
</div> <!-- column -->
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<div class="container-fluid section background-3">
<div class="container">
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</section>
<section id="harmonica-all-things-potential-fields">
<span id="harmonica"></span><h2><strong>Harmonica:</strong> All things potential fields</h2>
<p>Harmonica is our library for processing, forward modeling, and inversion of
<strong>gravity and magnetic</strong> data.
Our goal is to incentivise good practices by <strong>carefully designing</strong> the
software and offering <strong>state-of-the-art methods</strong> with efficient
implementations.</p>
<div class="project-info">
<ul class="simple">
<li><p><i class="fa fa-sync-alt fa-fw" style="color: orange" title="Project status"></i> Functional but still evolving</p></li>
<li><p><i class="fab fa-github fa-fw" title="GitHub repository"></i> Code: <a href="https://github.com/fatiando/harmonica">fatiando/harmonica</a></p></li>
<li><p><i class="fas fa-box-open fa-fw" title="Latest version"></i> Latest version: <a class="reference external" href="https://pypi.org/project/harmonica">v0.6.0</a></p></li>
<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.5281/zenodo.3628741">10.5281/zenodo.3628741</a></p></li>
</ul>
</div>
<div class="mt-4">
<a target="_blank" href="https://www.fatiando.org/harmonica/">
<button type="button" class="btn btn-secondary mb-3">
<i class="fa fa-book"></i>
Harmonica documentation
</button>
</a>
</div>
</div> <!-- column -->
<div class="col-md-5 order-md-last text-center fs-6">
<img class="mb-3" src="_static/harmonica-example-bushveld.png">
Residual gravity disturbances of the Bushveld Complex, South Africa,
gridded to a uniform height with equivalent sources.
</div> <!-- column -->
</div> <!-- row -->
</div> <!-- container -->
</div> <!-- container-fluid -->
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<section id="boule-ellipsoids-and-normal-gravity">
<span id="boule"></span><h2><strong>Boule:</strong> Ellipsoids and normal gravity</h2>
<p>Boule defines <strong>reference ellipsoids</strong> for calculating normal gravity of
the Earth and other planetary bodies (Moon, Mars, Venus, Mercury).</p>
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<li><p><i class="fa fa-sync-alt fa-fw" style="color: orange" title="Project status"></i> Functional but still evolving</p></li>
<li><p><i class="fab fa-github fa-fw" title="GitHub repository"></i> Code: <a href="https://github.com/fatiando/boule">fatiando/boule</a></p></li>
<li><p><i class="fas fa-box-open fa-fw" title="Latest version"></i> Latest version: <a class="reference external" href="https://pypi.org/project/boule">v0.4.1</a></p></li>
<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.5281/zenodo.3530749">10.5281/zenodo.3530749</a></p></li>
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Normal gravity of the WGS84 ellipsoid calculated at the Earth's surface using
an analytical expression (no free-air correction required).
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<section id="choclo-kernel-functions-for-your-geophysical-models">
<span id="choclo"></span><h2><strong>Choclo:</strong> Kernel functions for your geophysical models</h2>
<p>Optimized <strong>forward modelling</strong> functions for <strong>gravity</strong> and <strong>magnetic</strong>
fields, specially tailored to be reused by other libraries, like <a
href="#harmonica">Harmonica</a>.</p>
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<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.5281/zenodo.7851747">10.5281/zenodo.7851747</a></p></li>
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<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">choclo</span>
<span class="c1"># Define observation point</span>
<span class="n">easting</span><span class="p">,</span> <span class="n">northing</span><span class="p">,</span> <span class="n">upward</span> <span class="o">=</span> <span class="mf">10.4e3</span><span class="p">,</span> <span class="o">-</span><span class="mf">5.6e3</span><span class="p">,</span> <span class="mf">110.</span>
<span class="c1"># Define prism boundaries and physical properties</span>
<span class="n">prism</span> <span class="o">=</span> <span class="p">[</span><span class="mf">4e3</span><span class="p">,</span> <span class="mf">12e3</span><span class="p">,</span> <span class="o">-</span><span class="mf">10e3</span><span class="p">,</span> <span class="o">-</span><span class="mf">2e3</span><span class="p">,</span> <span class="o">-</span><span class="mf">300.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">]</span>
<span class="n">density</span> <span class="o">=</span> <span class="mi">2910</span>
<span class="n">magnetization</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.2</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.3</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">]</span>
<span class="c1"># Compute gravity field of the prism</span>
<span class="n">g_u</span> <span class="o">=</span> <span class="n">choclo</span><span class="o">.</span><span class="n">prism</span><span class="o">.</span><span class="n">gravity_u</span><span class="p">(</span>
<span class="n">easting</span><span class="p">,</span> <span class="n">northing</span><span class="p">,</span> <span class="n">upward</span><span class="p">,</span> <span class="o">*</span><span class="n">prism</span><span class="p">,</span> <span class="n">density</span>
<span class="p">)</span>
<span class="c1"># Compute magnetic field of the prism</span>
<span class="n">b_e</span><span class="p">,</span> <span class="n">b_n</span><span class="p">,</span> <span class="n">b_u</span> <span class="o">=</span> <span class="n">choclo</span><span class="o">.</span><span class="n">prism</span><span class="o">.</span><span class="n">magnetic_field</span><span class="p">(</span>
<span class="n">easting</span><span class="p">,</span> <span class="n">northing</span><span class="p">,</span> <span class="n">upward</span><span class="p">,</span> <span class="o">*</span><span class="n">prism</span><span class="p">,</span> <span class="o">*</span><span class="n">magnetization</span>
<span class="p">)</span>
</pre></div>
</div>
<p class="text-center fs-6">
This code calculates the gravity acceleration and magnetic field generated by
a single prism on a single observation point.
</p>
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<section id="ensaio-practice-datasets-to-probe-your-code">
<span id="ensaio"></span><h2><strong>Ensaio:</strong> Practice datasets to probe your code</h2>
<p>Ensaio makes it easy to download our open-access <strong>sample datasets</strong>. It taps
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<li><p><i class="fas fa-bookmark fa-fw" title="Publication"></i> doi: <a href="https://doi.org/10.5281/zenodo.5784202">10.5281/zenodo.5784202</a></p></li>
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height, bathymetry, GPS velocity, global relief, and magnetic anomaly.
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<li><p>2023/09/02: <a class="reference external" href="https://github.com/aguspesce">Agustina Pesce</a> presented
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