Building firefly-style maps in R to see patterns in stream names across United States.
Category: Data Visualization
Building a reproducible system for identifying the generic feature words from stream names using R.
Plotting hydrography data has never been easier with the latest versions of nhdplusTools and ggplot2. This blog demonstrates how to fetch and map National Hydrography Dataset (NHD) rivers and waterbodies with several reproducible examples.
This is a basic dataRetrieval tutorial for USGS water data in R in which we highlight new functionality for dataRetrieval and the new Water Data APIs.
Reproducible workflows that provide the data and tools for you to get started making your own 3D graphics of topographic, satellite, and water data
This blog shows several different ways to visualize data from the tidycensus package for R.
Quarto provides easier-than-ever ways to create data-driven, reproducible documents. This blog demonstrates how to use custom code templates to easily replicate code chunks with a reproducible USGS streamgage example!
Using the tidycensus package to access and visualize American Community Survey (ACS) data.
hyswap is an open-source Python package that is designed to enable cooperators, stakeholders and the public to calculate summary hydrologic statistics and create maps, tables and visualizations for critical decision-making. Access the package at https://github.com/DOI-USGS/hyswap .
A new, experimental application for viewing groundwater levels with historical context and for generating site-level reports.