Skip to content
/ gwavr Public

❗ This is a read-only mirror of the CRAN R package repository. gwavr — Get Water Attributes Visually in R. Homepage: https://github.com/joshualerickson/gwavr/ Report bugs for this package: https://github.com/joshualerickson/gwavr/issues/

License

Notifications You must be signed in to change notification settings

cran/gwavr

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

gwavr

R-CMD-check CRAN status Lifecycle: 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} (much thanks) as well as the {leaflet} extensions and all this package does is wrap them into a app. Enjoy!

Installation

You can install gwavr from CRAN:

install.packages('gwavr')

To install the development version of the gwavr package, you can install directly from GitHub:

# 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(). 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.

library(gwavr)
## basic example code

nhdplus_data <- get_nhdplus_interactively()

## or for NLDI

nldi_data <- get_nldi_interactively()

Video

About

❗ This is a read-only mirror of the CRAN R package repository. gwavr — Get Water Attributes Visually in R. Homepage: https://github.com/joshualerickson/gwavr/ Report bugs for this package: https://github.com/joshualerickson/gwavr/issues/

Resources

License

Stars

Watchers

Forks

Packages

No packages published