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https://github.com/adriancorrendo/agrometr

Code to gather and process gridded weather data from API-Client Sources

https://github.com/adriancorrendo/agrometr

Science Score: 39.0%

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

  • ○
    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
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Code to gather and process gridded weather data from API-Client Sources

Basic Info
  • Host: GitHub
  • Owner: adriancorrendo
  • License: mit
  • Language: HTML
  • Default Branch: main
  • Size: 303 KB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

AgrometR

This repository contains a code to gather and process gridded weather data from various API-Client Sources. The official repository could be found at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/J9EUZU

A detailed PDF Tutorial with equations could be found at: https://dataverse.harvard.edu/file.xhtml?fileId=4625563&version=10.1

Instructions

  • You will need R (https://cran.r-project.org/) and RStudio (https://posit.co/download/rstudio-desktop/) installed.
  • Clone or download this repository into your computer.
  • Open the AgrometR.Rproj file.
  • Open the code_agromet_R_3-0.Rmd file.
  • Run the chunks in order.

Sources

Youtube Tutorial

Watch the video

Publication

Correndo, A.A., Moro Rosso, L.H. & Ciampitti, I.A. Retrieving and processing agro-meteorological data from API-client sources using R software. BMC Res Notes 14, 205 (2021). https://doi.org/10.1186/s13104-021-05622-8

Daymet

https://github.com/bluegreen-labs/daymetr

Nasapower

https://github.com/ropensci/nasapower

CHIRPS

https://github.com/ropensci/chirps

Owner

  • Name: Adrian Correndo
  • Login: adriancorrendo
  • Kind: user
  • Location: Manhattan, KS, USA
  • Company: Kansas State University

Postdoctoral Fellow, Digital Agronomy Advocate of Applied Stats & Programming for Agriculture.

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Issues and Pull Requests

Last synced: about 1 year ago

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  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: about 4 hours
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
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  • wilson733 (1)
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