gwavr
Allows the user to point and click on areas within the United States and get back hydrological data, e.g. flowlines, catchments, basin boundaries, comids, etc.
https://github.com/joshualerickson/gwavr
Category: Hydrosphere
Sub Category: Ocean and Hydrology Data Access
Last synced: about 20 hours ago
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Repository metadata
Get Water Attributes Visually in R (gwavr)
- Host: GitHub
- URL: https://github.com/joshualerickson/gwavr
- Owner: joshualerickson
- License: other
- Created: 2021-12-20T16:24:02.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-21T16:36:36.000Z (2 months ago)
- Last Synced: 2025-04-18T04:10:41.682Z (9 days ago)
- Language: R
- Homepage:
- Size: 4.9 MB
- Stars: 17
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
README.Rmd
--- output: github_document --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" ) ``` # gwavr [](https://github.com/joshualerickson/gwavr/actions) [](https://CRAN.R-project.org/package=gwavr) [](https://lifecycle.r-lib.org/articles/stages.html#stable) The goal of gwavr (Gee-waver) is to Get Water Attributes Visually in R (gwavr). This allows the user to point and click on areas within the United States and get back hydrological data, e.g. flowlines, catchments, basin boundaries, comids, etc. Most of the heavy lifting is done by the [{nhdplusTools}](https://github.com/DOI-USGS/nhdplusTools) (much thanks) as well as the [{leaflet}](https://github.com/rstudio/leaflet) extensions and all this package does is wrap them into a app. Enjoy! ## Installation You can install `gwavr` from CRAN: ```{r, eval = F} install.packages('gwavr') ``` To install the development version of the `gwavr` package, you can install directly from [GitHub](https://github.com/): ``` r # install.packages("devtools") devtools::install_github("joshualerickson/gwavr") ``` ## Contributions Contributions are welcome! ## Current Functionality There are a handful of functions right now that can help with getting water data visually: `get_nhdplus_interactively()`, `get_nldi_interactively()`, `get_basin_interactively()`, `get_streamnetwork_interactively()`, `get_usgs_iv_interactively()`, `get_usgs_dv_interactively()`, `get_noaatlas_interactively()`. Please read the manual for more information on how to use these functions. ## Example This is a basic example which shows you how to solve a common problem: getting water data without knowing the exact lat, lon via a shiny application. ```{r example, eval=F} library(gwavr) ## basic example code nhdplus_data <- get_nhdplus_interactively() ## or for NLDI nldi_data <- get_nldi_interactively() ```## Video ![]()
Owner metadata
- Name: Josh Erickson
- Login: joshualerickson
- Email:
- Kind: user
- Description: USDA-Forest Service Geospatial/Data Analyst
- Website:
- Location: Eureka, MT
- Twitter: joshualerickson
- Company:
- Icon url: https://avatars.githubusercontent.com/u/43348065?u=1d8d1f22d7a57186baf466b63a6a94ecabf77f05&v=4
- Repositories: 79
- Last ynced at: 2025-04-26T08:51:45.534Z
- Profile URL: https://github.com/joshualerickson
GitHub Events
Total
- Issue comment event: 1
- Push event: 4
- Pull request event: 1
- Fork event: 2
Last Year
- Issue comment event: 1
- Push event: 4
- Pull request event: 1
- Fork event: 2
Committers metadata
Last synced: 6 days ago
Total Commits: 56
Total Committers: 6
Avg Commits per committer: 9.333
Development Distribution Score (DDS): 0.679
Commits in past year: 10
Committers in past year: 3
Avg Commits per committer in past year: 3.333
Development Distribution Score (DDS) in past year: 0.5
Name | Commits | |
---|---|---|
joshualerickson | j****n@g****m | 18 |
[email protected] | j****n@u****v | 17 |
Erickson | 1****7@F****V | 15 |
Erickson | 1****7@f****v | 3 |
David Blodgett | d****t@u****v | 2 |
Sam Albers | s****s@g****m | 1 |
Committer domains:
- fedidcard.gov: 2
- usgs.gov: 1
- usda.gov: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 4
Total pull requests: 6
Average time to close issues: 2 months
Average time to close pull requests: 24 minutes
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 2.0
Average comments per pull request: 0.17
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 2
Past year average time to close issues: 1 day
Past year average time to close pull requests: about 1 hour
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 5.0
Past year average comments per pull request: 0.5
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- dblodgett-usgs (2)
- jhollist (1)
- joshualerickson (1)
Top Pull Request Authors
- joshualerickson (4)
- dblodgett-usgs (1)
- boshek (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- cran: 291 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: gwavr
Get Water Attributes Visually in R
- Homepage: https://github.com/joshualerickson/gwavr/
- Documentation: http://cran.r-project.org/web/packages/gwavr/gwavr.pdf
- Licenses: MIT + file LICENSE
- Latest release: 0.3.2 (published 4 months ago)
- Last Synced: 2025-04-25T18:31:31.779Z (2 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 291 Last month
-
Rankings:
- Stargazers count: 15.074%
- Forks count: 21.888%
- Dependent packages count: 29.797%
- Average: 33.329%
- Dependent repos count: 35.455%
- Downloads: 64.432%
- Maintainers (1)
Dependencies
- dplyr * imports
- elevatr * imports
- httr * imports
- jsonlite * imports
- leaflet * imports
- leaflet.extras * imports
- magrittr * imports
- miniUI * imports
- nhdplusTools * imports
- promises * imports
- purrr * imports
- scales * imports
- sf * imports
- shiny * imports
- shinyWidgets * imports
- terra * imports
- tidyr * imports
- units * imports
- utils * imports
- whitebox * imports
- knitr * suggests
- rmarkdown * suggests
- spelling * suggests
- actions/checkout v2 composite
- r-lib/actions/check-r-package v1 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- r-lib/actions/setup-r-dependencies v1 composite
Score: 10.301726615552553