Summary
-
What does this package do? (explain in 50 words or less):
The global plant phenology data portal (PPO data portal) is an aggregation of plant phenological observations from USA-NPN, NEON, and PEP725 representing 20 million phenological observations from across North America and Europe. The PPO data portal utilizes the Plant Phenology Ontology to align phenological terms and measurements from the various databases. The rppo R package enables programmatic access to all data contained in the PPO data portal.
-
Paste the full DESCRIPTION file inside a code block below:
Package: rppo
Title: R functions to access Plant Phenology Ontology annotated datasets
Date: 2018-03-21
Version: 1.0
Authors@R: as.person(c(
"John Deck <jdeck88@gmail.com> [aut, cre]",
"Brian Stucky <stuckyb@flmnh.ufl.edu> [aut]",
"Ramona Walls <rwalls@cyverse.org> [aut]",
"Kjell Bolmgren <Kjell.Bolmgren@slu.se> [aut]",
"Ellen Denny <ellen@usanpn.org> [aut]",
"Robert Guralnick <rguralnick@flmnh.ufl.edu> [aut]"
))
Maintainer: John Deck <jdeck88@gmail.com>
Description: Access data from the Plant Phenology Ontology data store.
Depends: R (>= 3.4.2)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Imports:
rjson,
readr,
plyr,
leafletR (>= 0.1-1),
httr
Suggests: testthat,
knitr,
rmarkdown
VignetteBuilder: knitr
- URL for the package (the development repository, not a stylized html page):
https://github.com/biocodellc/rppo/
- Please indicate which category or categories from our package fit policies this package falls under *and why(? (e.g., data retrieval, reproducibility. If you are unsure, we suggest you make a pre-submission inquiry.):
This package fits under data retrieval since it is used in downloading/extracting data from the global plant phenology data portal.
- Who is the target audience and what are scientific applications of this package?
The target audience are scientists researching plant phenology patterns, shifts of plant phenological patterns over time and space, climate change biologists, and biodiversity scientists looking for sources of plant observation data.
There are no other R packages that we know of that do the same thing.
- If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted.
We enquired with @sckott and @karthik several weeks ago.
Requirements
Confirm each of the following by checking the box. This package:
Publication options
Detail
Summary
What does this package do? (explain in 50 words or less):
The global plant phenology data portal (PPO data portal) is an aggregation of plant phenological observations from USA-NPN, NEON, and PEP725 representing 20 million phenological observations from across North America and Europe. The PPO data portal utilizes the Plant Phenology Ontology to align phenological terms and measurements from the various databases. The rppo R package enables programmatic access to all data contained in the PPO data portal.
Paste the full DESCRIPTION file inside a code block below:
https://github.com/biocodellc/rppo/
This package fits under data retrieval since it is used in downloading/extracting data from the global plant phenology data portal.
The target audience are scientists researching plant phenology patterns, shifts of plant phenological patterns over time and space, climate change biologists, and biodiversity scientists looking for sources of plant observation data.
yours differ or meet our criteria for best-in-category?
There are no other R packages that we know of that do the same thing.
We enquired with @sckott and @karthik several weeks ago.
Requirements
Confirm each of the following by checking the box. This package:
Publication options
paper.mdmatching JOSS's requirements with a high-level description in the package root or ininst/.Detail
Does
R CMD check(ordevtools::check()) succeed? Paste and describe any errors or warnings:Does the package conform to rOpenSci packaging guidelines? Please describe any exceptions:
If this is a resubmission following rejection, please explain the change in circumstances:
If possible, please provide recommendations of reviewers - those with experience with similar packages and/or likely users of your package - and their GitHub user names: