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canopy: A Python package for analysing and visualising Dynamic Global Vegetation Model outputs

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Bibliographic Details
Main Authors:	Belda, David M., Damseaux, Adrien
Format:	Recurso digital
Published:	Zenodo 2026
Subjects:	climate outputs dgvm land surface model visualization data analysis
Online Access:	Acceder al recurso
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_version_	1866902316709314560
author	Belda, David M. Damseaux, Adrien
author_facet	Belda, David M. Damseaux, Adrien
contents	canopy is an open source python project designed to support research in the field of vegetation dynamics and climate modelling by providing tools for analysing and visualising Dynamic Global Vegetation Model (DGVM) outputs.
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_18266866
institution	Zenodo
language
publishDate	2026
publisher	Zenodo
record_format	zenodo
spellingShingle	canopy: A Python package for analysing and visualising Dynamic Global Vegetation Model outputs Belda, David M. Damseaux, Adrien climate outputs dgvm land surface model visualization data analysis canopy is an open source python project designed to support research in the field of vegetation dynamics and climate modelling by providing tools for analysing and visualising Dynamic Global Vegetation Model (DGVM) outputs.
title	canopy: A Python package for analysing and visualising Dynamic Global Vegetation Model outputs
topic	climate outputs dgvm land surface model visualization data analysis
url	https://doi.org/10.5281/zenodo.18266866