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inldata
View on CRAN: Click
here
Download and install inldata package within the R console
Install from CRAN:
install.packages("inldata")
Install from Github:
library("remotes")
install_github("cran/inldata")
Install by package version:
library("remotes")
install_version("inldata", "1.2.7")
Attach the package and use:
library("inldata")
Maintained by
Jason C. Fisher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.inldata . https://code.usgs.gov/inl/inldata/-/issues . https://rconnect.usgs.gov/INLPO/inldata-main/ . https://code.usgs.gov/inl/inldata . inldata citation info . inldata results . inldata.pdf . inldata_1.2.7.tar.gz . inldata_1.2.7.zip . inldata_1.2.7.zip . inldata_1.2.7.zip . inldata_1.2.7.tgz . inldata_1.2.7.tgz . inldata_1.2.7.tgz . inldata_1.2.7.tgz . inldata_1.2.7.tgz . inldata_1.2.7.tgz . inldata archive . https://CRAN.R-project.org/package=inldata .
First Published: 2020-09-17
Latest Update: 2024-02-06
Description:
A collection of analysis-ready datasets for the
U.S. Geological Survey - Idaho National Laboratory (USGS-INL)
groundwater and surface-water monitoring networks, administered by the
USGS-INL Project Office in cooperation with the U.S. Department of Energy.
The data collected from wells and surface-water stations at the
Idaho National Laboratory and surrounding areas have been used to describe
the effects of waste disposal on water contained in the
eastern Snake River Plain aquifer, located in the southeastern part of
Idaho, and the availability of water for long-term consumptive and
industrial use. The package includes long-term monitoring records dating
back to measurements from 1949. Geospatial data describing the areas from
which samples were collected or observations were made are also included in
the package. Bundling this data into a single package significantly reduces
the magnitude of data processing for researchers and provides a way to
distribute the data along with its documentation in a standard format.
Geospatial datasets are made available in a common projection and datum, and
geohydrologic data have been structured to facilitate analysis.
How to cite:
Jason C. Fisher (2020). inldata: Collection of Datasets for the USGS-INL Monitoring Networks. R package version 1.2.7, https://cran.r-project.org/web/packages/inldata. Accessed 01 Apr. 2025.
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