hyoga

Paleoglacier modelling framework

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 3 - Alpha
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Programming Language
- Python :: 3
Topic
- Scientific/Engineering

Project description

https://readthedocs.org/projects/hyoga/badge/?version=latest

https://github.com/juseg/hyoga/actions/workflows/tests.yaml/badge.svg

https://codecov.io/github/juseg/hyoga/branch/main/graph/badge.svg

Hyoga is a Python library to prepare and visualize ice-sheet model datasets. It acts as a thin wrapper around GeoPandas and xarray for CF-compliant datasets on regular grids used for instance in PISM. Hyoga (氷河) is the Japanese word for glacier (lit. ice river). See the documentation for more.

Since April 2022, development has been funded by a Trond Mohn Foundation (TMS) research project on alpine biodiversity at the University of Bergen (UiB).

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 3 - Alpha
Intended Audience
- Science/Research
License
- OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Programming Language
- Python :: 3
Topic
- Scientific/Engineering

Release history Release notifications | RSS feed

This version

0.3.0

Jan 16, 2023

0.2.2

Dec 16, 2022

0.2.1

Dec 1, 2022

0.2.0

Nov 1, 2022

0.1.2

Sep 21, 2022

0.1.1

Mar 8, 2021

0.1.0

Mar 1, 2021

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hyoga-0.3.0.tar.gz (39.0 kB view hashes)

Uploaded Jan 16, 2023 Source

Built Distribution

hyoga-0.3.0-py3-none-any.whl (44.6 kB view hashes)

Uploaded Jan 16, 2023 Python 3

Hashes for hyoga-0.3.0.tar.gz

Hashes for hyoga-0.3.0.tar.gz
Algorithm	Hash digest
SHA256	`66882a8c982aeea5778e220720571161bb6c4f46cf6f9e25c3c069ada6da100e`
MD5	`f0adc0ffb07c7c480233e8399eb4927e`
BLAKE2b-256	`f5652a430547c1f6f0ef08aabb9de16a46f7a5b03d1632c6ebeabcc6def36928`

Hashes for hyoga-0.3.0-py3-none-any.whl

Hashes for hyoga-0.3.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`b8eebdc937c45964b3ca05bde4dc6ada929d1e76bc6d79181fbc7591a68dacaf`
MD5	`2ad28790cfea3c24c9b74053566cbe2f`
BLAKE2b-256	`d623cc7aab169d2c6fe02e5a407085a4a2354fd87e786ef7e183129b02f17a12`