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xhealpixify

https://github.com/iaocea/xhealpixify

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 3
  • Open Issues: 5
  • Releases: 3
Created over 2 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

readme.md

PyPI version DOI

xHEALPixify

xHEALPixify is designed to convert georeferenced data expressed in latitude and longitude into a Healpix grid (https://healpix.sourceforge.io) and make use of the array indexing system provided by Xarray (http://xarray.pydata.org).

The development of xHEALPixify was initiated to meet the specific requirements of oceanography studies, which involve the analysis of geospatial data with varying precisions. This tool enables the performance of computations such as convolution while considering land masks through the utilization of a Hierarchical Equal Area Grid.

Given the particular characteristics of the Hierarchical Equal Area Grid, our aim is to provide solutions for Travel Time Analysis (like, H3 Travel Times - https://observablehq.com/@nrabinowitz/h3-travel-times), taking into account land masks and oceanic physical properties using xHEALPixify, with the goal of improving the tracking of fish habitats.

How to test examples on your jupyterlab enviroment

``` git clone https://github.com/IAOCEA/xhealpixify.git cd xhealpixify micromamba create -n xhealpixify-test -f ci/requirements/environment.yaml micromamba activate xhealpixify-test pip install -e . ipython kernel install --name xhealpixify-test --user

```

Owner

  • Name: IAOCEA
  • Login: IAOCEA
  • Kind: organization
  • Location: France

IAOCEA project software page

Citation (CITATION.cff) 

cff-version: 1.2.0
title: xhealpixify
message: "If you use this software, please cite it as below."
type: software
authors:
  - family-names: "Magin"
    given-names: "Justus"
    orcid: "https://orcid.org/0000-0002-4254-8002"
  - family-names: "Delouis"
    given-names: "Jean-Marc"
    orcid: "https://orcid.org/0000-0002-0713-1658"
  - family-names: "Odaka"
    given-names: "Tina"
    orcid: "https://orcid.org/0000-0002-1500-0156"
  - family-names: "Mazouni"
    given-names: "Quentin"
    orcid: "https://orcid.org/0009-0003-3519-5514"
repository-code: "https://github.com/IAOCEA/xhealpixify"
keywords:
  - pangeo
  - xarray
  - zarr
  - dask
  - healpix
  - regridding
  - oceanography
license: MIT
identifiers:
  - type: doi
    value: 10.5281/zenodo.15050695

GitHub Events

Total
  • Create event: 3
  • Issues event: 1
  • Release event: 1
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 2
  • Push event: 17
  • Pull request event: 4
Last Year
  • Create event: 3
  • Issues event: 1
  • Release event: 1
  • Watch event: 1
  • Delete event: 1
  • Issue comment event: 2
  • Push event: 17
  • Pull request event: 4

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 56 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: xhealpixify

Tool for converting latitude/longitude data into HEALPix grids.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 56 Last month
Rankings
Dependent packages count: 9.4%
Average: 31.3%
Dependent repos count: 53.1%
Maintainers (1)
Nireza
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • ipython *
  • sphinx >=4
  • sphinx_book_theme *
pyproject.toml pypi
  • astropy *
  • cdshealpix *
  • healpy *
  • numba *
  • numpy *
  • opt_einsum *
  • scikit-learn *
  • sparse *
  • xarray >=2023.11.0
ci/requirements/environment.yaml conda
  • aiohttp
  • bottleneck
  • cartopy
  • fsspec
  • geoviews
  • git
  • h5netcdf
  • healpy
  • hvplot
  • intake-xarray
  • ipykernel
  • ipython
  • kerchunk
  • netcdf4
  • numba
  • pre-commit
  • pyproj
  • pytest
  • pytest-reportlog
  • python 3.10.*
  • xarray
  • zarr
  • zstandard