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The National Water Availability Assessment Data Companion (NWDC) provides nationally-consistent modeled water data, including the surface water supply and use index (SUI), which is an indication of water limitation across the lower 48 United States. In this blog, we demonstrate how to programmatically download data from the Data Companion using R and API web services, process the data for mapping, and create customized data visualizations.
Building firefly-style maps in R to see patterns in stream names across United States.
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 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 .
Reproducible code demonstrating the evolution of a recent data viz of snow cover in the lower 48 United States
