<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/hurricane-harveys-rains-visualized-in-r-by-usgs/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/09/hurricane-harvey-usgs.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>On August 26 <a rel="nofollow" href="https://en.wikipedia.org/wiki/Hurricane_Harvey" target="_blank">Hurricane Harvey</a> became the largest hurricane to make landfall in the United States in over 20 years. (That record may yet be broken by Irma, now bearing down on the Florida peninsula.) Harvey's rains brought major flooding to Houston and other coastal areas in the Gulf of Mexico. You can see the rainfall generated by Harvey across Texas and Louisiana in this animation from the US Geological Survey of county-by-county precipitation as the storm makes its way across land.</p>
<blockquote class="twitter-tweet" data-lang="en">
<p dir="ltr" lang="en">Watch <a rel="nofollow" href="https://twitter.com/hashtag/Harvey?src=hash" target="_blank">#Harvey</a> move thru SE <a rel="nofollow" href="https://twitter.com/hashtag/Texas?src=hash" target="_blank">#Texas</a> spiking rainfall rates in each county (blue colors) Interactive version: <a rel="nofollow" href="https://t.co/qFrnyq3Sbm" target="_blank">https://t.co/qFrnyq3Sbm</a> <a rel="nofollow" href="https://t.co/md0hiUs9Bb" target="_blank">pic.twitter.com/md0hiUs9Bb</a></p>
<p>— USGS Coastal Change (@USGSCoastChange) <a rel="nofollow" href="https://twitter.com/USGSCoastChange/status/905422838638665729" target="_blank">September 6, 2017</a></p></blockquote>
<p></p>
<p>Interestingly, the heaviest rains appear to fall somewhat away from the eye of the storm, marked in orange on the map. The animation features Harvey's geographic track, along with a <a rel="nofollow" href="http://blog.revolutionanalytics.com/2014/01/easy-data-maps-with-r-the-choroplethr-package-.html" target="_blank">choropleth</a> of hourly rainfall totals and a <a rel="nofollow" href="http://blog.revolutionanalytics.com/2017/07/joyplots.html" target="_blank">joyplot</a> of river gage flow rates, and was created using the R language. You can <a rel="nofollow" href="https://github.com/USGS-VIZLAB/hurricane-harvey" target="_blank">find the data and R code on Github</a>, which makes use of the USGS's own <a rel="nofollow" href="https://github.com/USGS-VIZLAB/vizlab" target="_blank">vizlab package</a> which facilitates the rapid assembly of web-ready visualizations. </p>
<p>You can find more information about the animation, including the web-based interactive version, at the link below.</p>
<p>USGS Vizlab: <a rel="nofollow" href="https://owi.usgs.gov/vizlab/hurricane-harvey/" target="_blank">Hurricane Harvey's Water Footprint</a> (<a rel="nofollow" href="https://twitter.com/DeCiccoDonk/status/905885141792423936" target="_blank">via</a> Laura DeCicco)</p>
</div>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2017/09/hurricane-harvey-usgs.html"> Revolutions</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/8DTDyusd39U" height="1"></a></div>