Closed basille closed 2 years ago
[reply from @birderboone]
Thanks Rocio, I added it to the list. I'm not sure if we want to discuss this closer to the next update. My personal opinion, while I love RNCEP, I dont think this is not the taskview for it. Spatio-temporal maybe more suited for it.
My argument being, that its main purpose is not tracking related even if there is a section associated with tracking. And that the vast majority of the code is for non-tracking related analysis. We should ofcourse try to make it clear where the cut off is, with a package being specifically written for tracking data, or having a large enough section for tracking data to be included.
[reply from @rociojoo]
After considering @birderboone 's opinion, I think that RNCEP does not belong to this CTV. While there are functions related to tracking data, it is not the main goal of the package. If there were a vignette specific to tracking data, we could reconsider.
[reply from @rociojoo]
I added skip = T
for that package to Tracking_tbl.csv
.
[initial thread from @rociojoo on 2020-07-08]
Is it on CRAN?
Yes. https://cran.r-project.org/web/packages/RNCEP/index.html
Are you the author of this package?
No.
If you are the author, does it pass check CRAN tests?
I don't know.
Additional information:
The authors contacted me to include it in the review paper and did not include it because it didn't seem to have tracking data at its core. But one of its main features has to do with tracking data so I'm submitting it to your opinions now.
Briefly, can you describe the purpose of this package and how it fits into the Tracking CTV?
It's goal is to extract, handle and visualize NCEP weather data. From 7 points describing the package, 3 could be related to tracking data:
In terms of the tracking workflow (see Figure in the CTV), where does the package fit? (Feel free to mention any particular functions and how they fit as well.) Simulation and others (extracting environmental data)