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.
Tag: Vizlab
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
On October 13th 2022, we released a new water cycle diagram! This update re-envisions the water cycle, placing human activities at the forefront. We designed it to emphasize scientific accuracy, information design, and usability in educational settings. We hope that students of all ages better understand how humans affect where water is on Earth and how it moves, so that we can work towards using water more sustainably.
Use R to generate a video and gif similar to the Vizlab animation series, U.S. River Conditions.