Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 7 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 5 committers (20.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.3%) to scientific vocabulary
Keywords
Repository
a snow data network (SNOTEL) R package
Basic Info
- Host: GitHub
- Owner: bluegreen-labs
- License: agpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://bluegreen-labs.github.io/snotelr/
- Size: 59.5 MB
Statistics
- Stars: 17
- Watchers: 4
- Forks: 10
- Open Issues: 3
- Releases: 5
Topics
Metadata Files
README.md
snotelr 
snotelr is an R toolbox to facilitate easy SNOTEL data exploration and downloads through a convenient R shiny based GUI. In addition it provides a routine to extract basic snow phenology metrics.
How to cite this package in your article
You can cite this package like this "we obtained data from SNOTEL using the snotelr R package (Hufkens 2022)". Here is the full bibliographic reference to include in your reference list:
Hufkens, K. (2022). snotelr: a toolbox to facilitate easy SNOTEL data exploration and downloads in R. Zenodo. https://doi.org/10.5281/zenodo.7012728.
Installation
stable release
To install the current stable release use a CRAN repository:
r
install.packages("snotelr")
library("snotelr")
The use of the GUI requires the installation of additional packages, which are side loaded.
r
install.packages(c("DT","shinydashboard", "plotly", "leaflet"))
development release
To install the development releases of the package run the following commands:
r
if(!require(remotes)){install.packages("remotes")}
remotes::install_github("bluegreen-labs/snotelr")
library("snotelr")
Vignettes are not rendered by default, if you want to include additional documentation please use:
r
if(!require(remotes)){install.packages("remotes")}
remotes::install_github("bluegreen-labs/snotelr", build_vignettes = TRUE)
library("snotelr")
Use
Most people will prefer the GUI to explore data on the fly. To envoke the GUI use the following command:
r
library(snotelr)
snotel_explorer()
This will start a shiny application with an R backend in your default browser. The first window will display all site locations, and allows for subsetting of the data based upon state or a bounding box. The bounding box can be selected by clicking top-left and bottom-right.
The plot data tab allows for interactive viewing of the soil water equivalent (SWE) data together with a covariate (temperature, precipitation). The SWE time series will also mark snow phenology statistics, mainly the day of:
- first snow melt
- a continuous snow free season (last snow melt)
- first snow accumulation (first snow deposited)
- continuous snow accumulation (permanent snow cover)
- seasonal maximum SWE (and its amount)
All values are provided as relative to January first of the year mentioned (spring), and absolute dates.
To access the full list of SNOTEL sites and associated meta-data use the snotel_info() function.
```r
returns the site info as snotel_metadata.txt in the current working directory
snotel_info(path = ".")
export to data frame
meta-data <- snotel_info(path = NULL)
show some lines of the data frame
head(meta-data) ```
To query data for e.g. site 924 as shown in the image above use:
r
snotel_download(site_id = 924)
For in depth analysis the statistics in the GUI can be retrieved using the snotel_phenology() function
```r
with df a SNOTEL file or data frame in your R workspace
snotel_phenology(df) ```
Data (units)
By default all data is converted to metric. Depths of snow and snow water equivalent are reported in mm, although it must be noted that when stations measure snow depth (in metric) they round values to the nearest inch or cm. You can use the metric parameter to download the raw data. Note that batch downloads might fail in this instance as column names might not match due to the dual use of metric and imperial units across stations. This is for niche and debugging use mostly.
References
Hufkens, K. (2022). snotelr: a toolbox to facilitate easy SNOTEL data exploration and downloads in R. Zenodo. https://doi.org/10.5281/zenodo.7012728.
Acknowledgements
This project was in part supported by the National Science Foundation’s Macro-system Biology Program (award EF-1065029) and the Marie Skłodowska-Curie Action (H2020 grant 797668). Logo design elements are taken from the FontAwesome library according to these terms, where the globe element was inverted and intersected.
Owner
- Name: BlueGreen Labs
- Login: bluegreen-labs
- Kind: organization
- Email: info@bluegreenlabs.org
- Location: Melsele, Belgium
- Website: http://bluegreenlabs.org
- Repositories: 17
- Profile: https://github.com/bluegreen-labs
BlueGreen open science labs & consulting, providing environmental research infrastructure and editorial solutions.
GitHub Events
Total
- Create event: 1
- Issues event: 3
- Release event: 1
- Watch event: 2
- Delete event: 1
- Push event: 1
Last Year
- Create event: 1
- Issues event: 3
- Release event: 1
- Watch event: 2
- Delete event: 1
- Push event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| khufkens | k****s@g****m | 185 |
| Koen Hufkens | k****s@P****l | 10 |
| David Hill | d****h@o****u | 1 |
| Dominik Schneider | d****h | 1 |
| Nicholas Potter | p****t | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 30
- Total pull requests: 9
- Average time to close issues: 6 months
- Average time to close pull requests: about 3 hours
- Total issue authors: 10
- Total pull request authors: 4
- Average comments per issue: 1.73
- Average comments per pull request: 0.33
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 8
- Pull requests: 2
- Average time to close issues: 15 days
- Average time to close pull requests: 24 minutes
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 0.75
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- khufkens (18)
- realmiketalbot (2)
- jeffmarti (2)
- potterzot (2)
- JepsonNomad (1)
- dschneiderch (1)
- tungttnguyen (1)
- dfosterhill (1)
- Roctober92 (1)
- MNewcomer (1)
Pull Request Authors
- khufkens (8)
- dfosterhill (2)
- dschneiderch (1)
- potterzot (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- cran 427 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 10
- Total maintainers: 1
proxy.golang.org: github.com/bluegreen-labs/snotelr
- Documentation: https://pkg.go.dev/github.com/bluegreen-labs/snotelr#section-documentation
- License: agpl-3.0
-
Latest release: v1.5.2
published over 1 year ago
Rankings
cran.r-project.org: snotelr
Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
- Homepage: https://github.com/bluegreen-labs/snotelr
- Documentation: http://cran.r-project.org/web/packages/snotelr/snotelr.pdf
- License: AGPL-3
-
Latest release: 1.5.2
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.6 depends
- httr * imports
- magrittr * imports
- memoise * imports
- rvest * imports
- shiny * imports
- stats * imports
- utils * imports
- DT * suggests
- covr * suggests
- knitr * suggests
- leaflet * suggests
- plotly * suggests
- rmarkdown * suggests
- shinydashboard * suggests
- testthat * suggests
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite