44 search results for "SANDY"

Hurricane Sandy Land Wind Speed and Kriging

November 28, 2012
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Hurricane Sandy Land Wind Speed and Kriging

NJ Hurricane Sandy Landfall Data These data come from the National Climatic Data Center (NCDC).  Using the above link will download all of the data collected by the NCDC on the day of Hurricane Sandy.  The data can also be obtained directly from the source at http://cdo.ncdc.noaa.gov/qclcd/QCLCD. The purpose of this post is not a discussion

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Using R to Compare Hurricane Sandy and Hurricane Irene

November 3, 2012
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Using R to Compare Hurricane Sandy and Hurricane Irene

Having just lived through two back to back hurricanes (Irene in 2011 and Sandy in 2012) that passed through the New York metro area I was curious how the paths of the hurricanes differed.  I worked up a quick graph in R using data from Unisys.  The data also includes wind speed and barometric pressure.

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More data apps spawned by Sandy

October 31, 2012
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More data apps spawned by Sandy

As the clean-up continues on the eastern seaboard, I wanted to follow up on Monday's post on tracking Hurricane Sandy with Open Data with a couple of other R-based data applications spawned by the storm. Josef Fruehwald created an R script to tap into local weather sensors to keep track of air pressure, wind speed and rainfall near his...

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Tracking Hurricane Sandy with Open Data and R

October 29, 2012
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Tracking Hurricane Sandy with Open Data and R

Hurricane Sandy is shaping up to be a major, and very dangerous, meteorological event for the US's East coast. Naturally, everyone is looking for the latest information and forecasts. Fortunately, the wealth of public meteorological data available on the open web, combined with real-time on-the-ground updates via social media, means that an ecosystem of on-line apps is now available...

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‘Sandy’ Code Up On Github

October 29, 2012
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‘Sandy’ Code Up On Github

UPDATE: As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight I will (most likely) not be littering the blog with any more updates to the ‘Sandy’ code unless they are really significant. You can follow along at

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Watch Sandy in “R” (Including Forecast Cone)

October 28, 2012
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Watch Sandy in “R” (Including Forecast Cone)

As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight NOTE: There is significantly updated code on github for the Sandy ‘R’ dataviz. This is a follow-up post to the quickly crafted Watch Sandy in “R” post last

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Watch “Sandy” In R

October 27, 2012
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Watch “Sandy” In R

UPDATE: Significantly updated code on githubWell, a couple folks asked how to make it more “centered” on the hurricane and stop the labels from chopping off, so I modified the previous code a bit to show how to do that. As indicated in the code comments, Google took down the cone KML files. I’ll be

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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

December 10, 2010
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New edition of “R Companion to Applied Regression” – by John Fox and Sandy Weisberg

Just two hours ago, Professor John Fox has announced on the R-help mailing list of a new (second) edition to his book “An R and S Plus Companion to Applied Regression”, now title . “An R Companion to Applied Regression, Second Edition”. John Fox is (very) well known in the R community for many contributions to R, including the...

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Plot Me Like a Hurricane (a.k.a. animating historical North Atlantic basin tropical storm tracks)

October 7, 2014
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Markus Gessman (@MarkusGesmann) did a beautiful job Visualising the seasonality of Atlantic windstorms using small multiples, which was inspired by both a post by Arthur Charpentier (@freakonometrics) on using Markov spatial processes to “generate” hurricanes—which was tweaked a bit by Robert Grant (@robertstats)—and Gaston Sanchez‘s Visualizing Hurricane Trajectories RPub. I have some history with hurricane

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Generating Hurricanes with a Markov Spatial Process

September 30, 2014
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Generating Hurricanes with a Markov Spatial Process

The National Hurricane Center (NHC) collects datasets with all  storms in North Atlantic, the North Atlantic Hurricane Database (HURDAT). For all sorms, we have the location of the storm, every six jours (at midnight, six a.m., noon and six p.m.). Note that we have also the date, the maximal wind speed – on a 6 hour window – and...

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