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Processing and gridding spatial data, machine-learning style


Info: This package contains files in non-standard labels.
  • noarch v1.8.0

conda install

To install this package run one of the following:
conda install -c conda-forge verde
conda install -c "conda-forge/label/cf201901" verde
conda install -c "conda-forge/label/cf202003" verde
conda install -c "conda-forge/label/gcc7" 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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