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:alt: Verde Documentation
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**Verde** is a Python library for processing spatial data (bathymetry,
geophysics surveys, etc) and interpolating it on regular grids (i.e.,
*gridding*).
Our core interpolation methods are inspired by machine-learning. As such, Verde
implements an interface that is similar to the popular
`scikit-learn `__ library.
We also provide other analysis methods that are often used in combination with
gridding, like trend removal, blocked/windowed operations, cross-validation,
and more!
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**Getting started**
^^^^^^^^^^^^^^^^^^^
New to Verde? Start here!
.. link-button:: overview
:type: ref
:text: Overview
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**Need help?**
^^^^^^^^^^^^^^
Ask on our community channels
.. link-button:: https://www.fatiando.org/contact
:type: url
:text: Join the conversation
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**Reference documentation**
^^^^^^^^^^^^^^^^^^^^^^^^^^^
A list of modules and functions
.. link-button:: api
:type: ref
:text: API reference
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**Using Verde for research?**
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Citations help support our work
.. link-button:: citing
:type: ref
:text: Cite Verde
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.. seealso::
Verde is a part of the
`Fatiando a Terra `__ project.
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Table of contents
-----------------
.. toctree::
:maxdepth: 1
:caption: Getting Started
tutorials/overview.rst
install.rst
gallery/index.rst
.. toctree::
:maxdepth: 1
:caption: User Guide
sample_data/index.rst
tutorials/grid_coordinates.rst
tutorials/trends.rst
tutorials/decimation.rst
tutorials/projections.rst
tutorials/chain.rst
tutorials/model_evaluation.rst
tutorials/model_selection.rst
tutorials/weights.rst
tutorials/vectors.rst
.. toctree::
:maxdepth: 1
:caption: Reference documentation
api/index.rst
citing.rst
changes.rst
references.rst
versions.rst
.. toctree::
:maxdepth: 1
:caption: Community
Join the community
How to contribute
Code of Conduct
Source code on GitHub
The Fatiando a Terra project