# Verde

Canonical: https://gisforweb.com/tools/verde/

Python library for processing and gridding spatial data, with a scikit-learn style API.

Verde is a Python library for processing spatial data such as bathymetry, gravity surveys and point clouds, and for interpolating scattered observations onto regular grids. Its estimator and pipeline interface mirrors scikit-learn, so gridding parameters can be cross-validated like any other model, and it exchanges data with the SciPy stack through NumPy, pandas and xarray. It is part of the Fatiando a Terra project alongside Harmonica and Boule.

## Details

- Type: library

- Categories: analysis, data-processing

- Open source: Yes

- Pricing model: open-source

- License: BSD-3-Clause

- Platforms: linux, macos, windows

## Features

- scikit-learn style estimator and pipeline API

- Gridding of scattered spatial observations

- Spline, polynomial and blocked means

- Trend and 2D polynomial separation

- Cross-validation for gridding parameters

- Handles bathymetry, gravity and point clouds

## Project sources

- Website: https://www.fatiando.org/verde

- Documentation: https://www.fatiando.org/verde/latest/

- Repository: https://github.com/fatiando/verde

Directory descriptions are summaries. Verify current capabilities and terms with the project sources.