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I'm a scientist working for the French National Institute of Agricultural Research (INRAE). I use computational and modelling approaches to understand how crops interact with their environments. I am exploring how community ecology principles and crop modeling can help to understand less controlled and more species-varied cropping systems. You can find additional information on my work and publications on my ORCID and scholar pages.

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I try to use my data science skills to create algorithmic art. I published selected works on my art website, along with considerations on the creation processes. You can also find some examples along with the tools i used for creative coding here.

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agridatasets's Issues

add agri4cast

As a follow up from #1 , let's maybe discuss this concrete data set.

JRC "Gridded Agro-Meteorological Data in Europe"

The data itself is available after registration and in "pieces",
to be downloadable in CVS file.
http://agri4cast.jrc.ec.europa.eu/DataPortal/Index.aspx

It requires registration and is asynchronous (via email notifications).
This prevents to use via an R package directly.

There is a limit of "records", but with < 10 downloads the whole thing could be downloaded.

I agree that adding them to an R package does not make a lot of sense.

I checked the "reuse conditions" and I think we could re-publish the data (with proper citation, of course) into "http://zenodo.org"

Having done that would give it a DOI and "stable download links" for each file,
in th form of :
https://zenodo.org/record/7531/files/C3-EURO4M-MEDARE_TX.txt

Like this we could split the data in files per year, and the R code would use that links to access the data.

The same could work for all type of big climate data (as long as the re-use conditions allow the re-publishing).

Further develop this package ?

Are you interested in further develop this package ?

I am interested in making the access to some JRC agri4cast datasets easier, namely:

  • the 25km grid itself
  • JRC climate data (agro meteo)
  • JRC crop modelling
  • JRC pest host data (forest atlas)

and maybe add some reusable code on top of these:

  • degree day calculations

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