Processing and gridding spatial data using Green's functions

Installers

Info: This package contains files in non-standard labels.

conda install

  • noarch  v1.6.1
To install this package with conda run one of the following:
conda install -c conda-forge verde
conda install -c conda-forge/label/gcc7 verde
conda install -c conda-forge/label/cf201901 verde
conda install -c conda-forge/label/cf202003 verde

Description

Verde is a Python library for processing spatial data (bathymetry, geophysics surveys, etc) and interpolating it on regular grids (i.e., gridding). Most gridding methods in Verde use a Green's functions approach. A linear model is estimated based on the input data and then used to predict data on a regular grid (or in a scatter, a profile, as derivatives). The models are Green's functions from (mostly) elastic deformation theory. This approach is very similar to machine learning so we implement gridder classes that are similar to scikit-learn regression classes. The API is not 100% compatible but it should look familiar to those with some scikit-learn experience.


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