Blodgett, D., Johnson, J.M., 2022, nhdplusTools: Tools for
Accessing and Working with the NHDPlus,
https://doi.org/10.5066/P97AS8JD
install.packages("nhdplusTools")For the latest development:
install.packages("remotes")
remotes::install_github("DOI-USGS/nhdplusTools")For data discovery and access in a U.S. context, start with the Getting Started page.
Detailed documentation of all the package functions can be found at the Reference page.
nhdplusTools, is designed to provide easy access to data associated
with the U.S. National Hydrography Dataset. Many functions provided in
nhdplusTools are thin wrappers around functions that have been
migrated to hydroloom.
The nhdplusTools package is intended to provide a reusable set of
tools to subset, relate data to, and generate network attributes for
U.S. NHDPlus data.
General, globally applicable functionality has been moved to
hydroloom
nhdplusTools implements a data model consistent with both the
NHDPlus
dataset and the
HY_Features data model.
The package aims to provide a set of tools that can be used to build
workflows using NHDPlus data.
This vision is intended as a guide to contributors – conveying what kinds of contributions are of interest to the package’s long term vision. It is a reflection of the current thinking and is open to discussion and modification.
The following describe a vision for the functionality that should be included in the package in the long run.
The NHDPlus is a very large dataset both spatially and in terms of the number of attributes it contains. Subsetting utilities will provide network location discovery, network navigation, and data export utilities to generate spatial and attribute subsets of the NHDPlus dataset.
One of the most important roles of the NHDPlus is as a connecting
network for ancillary data and models. The first step in any workflow
that uses the network like this is indexing relevant data to the
network. A number of methods for indexing exist, they can be broken into
two main categories: linear referencing and catchment indexing. Both
operate on features represented by points, lines, and polygons.
nhdplusTools should eventually support both linear and catchment
indexing.
Given that nhdplusTools is focused on working with NHDPlus data, the
NHDPlus data model will largely govern the data model the package is
designed to work with. That said, much of the package functionality also
uses concepts from the HY_Features standard.
Note: The HY_Features standard is based on the notion that a “catchment” is a holistic feature that can be “realized” (some might say modeled) in a number of ways. In other words, a catchment can only be characterized fully through a collection of different conceptual representations. In NHDPlus, the “catchment” feature is the polygon feature that describes the drainage divide around the hydrologic unit that contributes surface flow to a given NHD flowline. While this may seem like a significant difference, in reality, the NHDPlus COMID identifier lends itself very well to the HY_Features catchment concept. The COMID is used as an identifier for the catchment polygon, the flowline that connects the catchment inlet and outlet, and value added attributes that describe characteristics of the catchment’s interior. In this way, the COMID identifier is actually an identifier for a collection of data that together fully describe an NHDPlus catchment. See the NHDPlus mapping to HY_Features in the HY_Features specification.
Below is a description of the scope of data used by the nhdplusTools
package. While other data and attributes may come into scope, it should
only be done as a naive pass-through, as in data subsetting, or with
considerable deliberation.
Flowline geometry is a mix of 1-d streams and 1-d “artificial paths”. In order to complete the set of features meant to represent water, we need to include waterbody polygons.
Catchment polygons are the result of a complete elevation derived hydrography process with hydro-enforcement applied with both Watershed Boundary Dataset Hydrologic Units and NHD reaches.
The NHDPlus includes numerous attributes that are built using the network and allow a wide array of capabilities that would require excessive iteration or sophisticated and complex graph-oriented data structures and algorithms.
The NHDPlus is a very large dataset. The architecture of this package as it relates to handling data and what dependencies are used will be very important.
nhdplusTools offers a mix of web service and local data functionality.
Web services have generally been avoided for large processes. However,
applications that would require loading significant amounts of data to
perform something that can be accomplished with a web service very
quickly are supported. Systems like the Network Linked Data
Index are used for data
discovery.
Initial package development focused on the National Seamless NHDPlus database. NHDPlus High Resolution is also supported.
https://github.com/mbtyers/riverdist
https://github.com/jsta/nhdR
https://github.com/lawinslow/hydrolinks
https://github.com/mikejohnson51/HydroData
https://github.com/ropensci/FedData
https://github.com/hyriver/pygeohydro … others – please suggest
additions?
This package uses a convention to avoid building vignettes on CRAN. The
BUILD_VIGNETTES environment variable must be set to TRUE. This is
done with a .Renviron file in the package directory with the line
BUILD_VIGNETTES=TRUE.
Given this, the package should be built locally to include vignettes using:
devtools::build()In addition to typical R package checking, a Dockerfile is included in this repository. Once built, it can be run with the following command.
docker build -t nhdplustools_test .
docker run --rm -it -v $PWD:/src nhdplustools_test /bin/bash -c "cp -r /src/* /check/ && cp /src/.Rbuildignore /check/ && cd /check && Rscript -e 'devtools::build()' && R CMD check --as-cran ../nhdplusTools_*"
- ensure all checks pass and code coverage is adequate.
- ensure news has been updated
- convert disclaimer to released form
- update version in inst/CITATION file
- update version in code.json file
- Build source package and upload to CRAN
- Once a new version has been accepted by cran,
- ensure pkgdown is up to date
- commit, push, and PR/MR changes
- create release page and tag
- attach cran tar.gz to release page
- update DOI to point to release page
- switch README disclaimer back to “dev” mode.
- Update version in Description.
- push an PR/MR changes.
First, thanks for considering a contribution! I hope to make this package a community created resource for us all to gain from and won’t be able to do that without your help!
- Contributions should be thoroughly tested with
testthat. - Code style should attempt to follow the
tidyversestyle guide. - Please attempt to describe what you want to do prior to contributing by submitting an issue.
- Please follow the typical github fork - pull-request workflow.
- Make sure you use roxygen and run Check before contributing. More on this front as the package matures.
Other notes: - consider running lintr prior to contributing. -
consider running goodpractice::gp() on the package before
contributing. - consider running devtools::spell_check() if you wrote
documentation. - this package uses pkgdown. Running
pkgdown::build_site() will refresh it.
This information is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The information has not received final approval by the U.S. Geological Survey (USGS) and is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the information.
From: https://www.usgs.gov/office-of-science-quality-and-integrity/fundamental-science-practices#5
This software is in the public domain because it contains materials that originally came from the U.S. Geological Survey, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy
Although this software program has been used by the USGS, no warranty, expressed or implied, is made by the USGS or the U.S. Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith. This software is provided “AS IS.”
