grids

A python tool for extracting time series subsets of n-dimensional spatiotemporal arrays

https://github.com/rileyhales/grids

Science Score: 57.0%

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 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary

Keywords

array grids n-dimensional python raster spatial-analysis time-series
Last synced: 6 months ago · JSON representation ·

Repository

A python tool for extracting time series subsets of n-dimensional spatiotemporal arrays

Basic Info
  • Host: GitHub
  • Owner: rileyhales
  • License: bsd-3-clause-clear
  • Language: Python
  • Default Branch: master
  • Homepage: https://grids.rileyhales.com
  • Size: 481 KB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 2
  • Open Issues: 2
  • Releases: 13
Topics
array grids n-dimensional python raster spatial-analysis time-series
Created over 5 years ago · Last pushed over 4 years ago
Metadata Files
Readme License Citation

README.md

grids - The Grids Python Tool for Querying Spatiotemporal Multidimensional Datasets

Documentation Status GitHub repo size

A python tool for extracting time series subsets from multi-dimensional data arrays developed by Riley Hales as part of a Master's Thesis in Civil and Environmental Engineering at Brigham Young University.

Citing grids

If you use this code, please cite the following academic journal article and source code doi's: - https://doi.org/10.3390/w13152066 - https://doi.org/10.5281/zenodo.5225437

Documentation and Demos

Read documentation on ReadTheDocs

Use a live demo notebook on Google Collaboratory

Owner

  • Name: Riley Hales
  • Login: rileyhales
  • Kind: user
  • Company: Brigham Young University

Hydraulics and Hydrology, Numerical Modeling, Statistics, Machine Learning, Remote Sensing, Web Dev

Citation (CITATION.cff)

authors:
  - affiliation: "Brigham Young University"
    family-names: Hales
    given-names: "Riley Chad"
    orcid: "https://orcid.org/0000-0001-8517-5755"
cff-version: "1.2.0"
date-released: 2021-08-19
doi: "10.3390/w13152066"
identifiers:
  - description: MDPI Water academic journal article
    type: doi
    value: "10.3390/w13152066"
  - description: Code snapshots on Zenodo
    type: doi
    value: "10.5281/zenodo.5225437"
keywords:
  - multidimensional
  - "time series"
  - grids
license: "BSD-3-Clause-Clear"
message: "Please cite both the journal article and the code with these DOIs. Cite the article if you must choose 1."
repository-code: "https://github.com/rileyhales/grids"
title: "The Grids Python Package"
version: "0.11"

GitHub Events

Total
Last Year

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 1,192 last-month
  • Total docker downloads: 610
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 13
  • Total maintainers: 1
pypi.org: grids

Tools for extracting time series subsets from n-dimensional arrays in several storage formats.

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 1,192 Last month
  • Docker Downloads: 610
Rankings
Docker downloads count: 2.1%
Dependent packages count: 10.0%
Average: 11.6%
Dependent repos count: 11.6%
Downloads: 22.7%
Maintainers (1)
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • affine *
  • geopandas *
  • h5py *
  • netCDF4 *
  • numpy *
  • pandas *
  • pillow *
  • pydap *
  • pygrib *
  • pyproj *
  • python-dateutil *
  • rasterio *
  • rasterstats *
  • sphinx *
  • sphinx_rtd_theme *
  • xarray *
requirements.txt pypi
  • affine *
  • cfgrib *
  • eccodes *
  • geopandas *
  • h5py *
  • netcdf4 *
  • numpy *
  • pandas *
  • pydap *
  • python-dateutil *
  • rasterio *
  • requests *
  • xarray *