watina

R package for querying & processing data from the INBO Watina database (groundwater data)

https://github.com/inbo/watina

Science Score: 49.0%

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  • 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
    Links to: zenodo.org
  • Committers with academic emails
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  • Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary

Keywords

groundwater package preprocessing-functions r reproducibility
Last synced: 6 months ago · JSON representation

Repository

R package for querying & processing data from the INBO Watina database (groundwater data)

Basic Info
Statistics
  • Stars: 2
  • Watchers: 6
  • Forks: 1
  • Open Issues: 11
  • Releases: 7
Topics
groundwater package preprocessing-functions r reproducibility
Created over 6 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Zenodo

README.md

DOI Lifecycle: maturing R-CMD-check inbo r-universe-name inbo r-universe package status <!-- badges: end -->

Welcome

The R-package watina contains functions to query and process data from the Watina database at the Research Institute for Nature and Forest (INBO). This database is focused on groundwater data in natural areas in Flanders (Belgium) and provides:

  • groundwater level and chemical data;
  • data from hydrostatic pressure sensors (mainly groundwater);
  • data from atmospheric pressure sensors;
  • a more limited number of surface water level and chemical data.

Currently the R package won't work outside INBO.

Installing and using the watina package

Option 1: from r-universe repository (quickest)

To install the current package version from the main branch (latest stable release), run:

r install.packages("watina", repos = c(inbo = "https://inbo.r-universe.dev", CRAN = "https://cloud.r-project.org"))

The above provides a pre-compiled package for Windows and macOS, which should be faster than below approaches. INBO staff should have the INBO repository enabled already (check with getOption("repos")), in which case install.packages("watina") is all you need!

Option 2, from source: installing without vignettes (quick)

r Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS = "true") # as a precaution remotes::install_github("inbo/watina", upgrade = TRUE)

You can consult the vignettes of the latest release on the (this) pkgdown website: click on 'Articles' at the top.

Option 3, from source: installing with vignettes

r Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS = "true") # as a precaution if (!("nycflights13" %in% installed.packages())) { install.packages("nycflights13")} # to prevent dbplyr from interrupting next step remotes::install_github("inbo/watina", build_vignettes = TRUE, upgrade = TRUE)

Note that this will install the package from the main branch. If you need a version from another branch, add the ref argument in the above function to provide the branch name.

You are welcome to contribute!

Please have a look at our contributing guide!

Owner

  • Name: Research Institute for Nature and Forest (INBO)
  • Login: inbo
  • Kind: organization
  • Location: Belgium

Open source, data and science initiatives of the Research Institute for Nature and Forest (INBO)

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Delete event: 3
  • Issue comment event: 2
  • Push event: 6
  • Pull request event: 6
  • Fork event: 1
  • Create event: 3
Last Year
  • Issues event: 1
  • Watch event: 1
  • Delete event: 3
  • Issue comment event: 2
  • Push event: 6
  • Pull request event: 6
  • Fork event: 1
  • Create event: 3

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 345
  • Total Committers: 3
  • Avg Commits per committer: 115.0
  • Development Distribution Score (DDS): 0.049
Past Year
  • Commits: 10
  • Committers: 1
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
florisvdh f****e@i****e 328
Peter Desmet p****k@g****m 11
W-Jan j****s@i****e 6
Committer Domains (Top 20 + Academic)
inbo.be: 2

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 42
  • Total pull requests: 66
  • Average time to close issues: 3 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 5
  • Total pull request authors: 4
  • Average comments per issue: 1.55
  • Average comments per pull request: 0.64
  • Merged pull requests: 64
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 4
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.25
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • florisvdh (31)
  • w-jan (4)
  • peterdesmet (3)
  • cecileherr (3)
  • damianooldoni (1)
Pull Request Authors
  • florisvdh (66)
  • falkmielke (2)
  • w-jan (2)
  • peterdesmet (1)
Top Labels
Issue Labels
enhancement (13) bug (6) solved_in_0.4.0 (6) documentation (5) solved_in_0.4.1 (3) continuous_integration (2) simplification (2) task (1) question (1)
Pull Request Labels

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • KSgeneral * imports
  • assertthat * imports
  • dplyr * imports
  • inbodb * imports
  • lubridate * imports
  • rlang * imports
  • stats * imports
  • stringr * imports
  • tidyr * imports
  • DBI * suggests
  • knitr * suggests
  • purrr * suggests
  • rmarkdown * suggests
  • sf * suggests
  • tibble * suggests
  • tidyselect * suggests