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conda-forge.org : verde
Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning. 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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purl: pkg:conda/verde
Keywords: earth-science, fatiando-a-terra, geophysics, geoscience, geospatial, interpolation, machine-learning, python, python3, scipy, scipy-stack
License: BSD-3-Clause
Latest release: about 2 years ago
First release: over 5 years ago
Dependent packages: 2
Dependent repositories: 22
Stars: 493 on GitHub
Forks: 62 on GitHub
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Last synced: 4 days ago