1223 search results for "Maps"

Beware Graphical Networks from Rating Scales without Concrete Referents

October 15, 2014
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Beware Graphical Networks from Rating Scales without Concrete Referents

We think of latent variables as hidden causes for the correlations among observed measures and rely on factor analysis to reveal the underlying structure. In a previous post, I borrowed an alternative metaphor from the R package qgraph and produce...

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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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Visualising the seasonality of Atlantic windstorms

October 7, 2014
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Visualising the seasonality of  Atlantic windstorms

Last week Arthur Charpentier sketched out a Markov spatial process to generate hurricane trajectories. Here, I would like to take another look at the data Arthur used, but focus on its time component. According to the Insurance Information Institute, a normal season, based on averages from 1980 to 2010, has 12 named storms, six hurricanes and...

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Transparent hurricane paths in R

October 1, 2014
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Transparent hurricane paths in R

Arthur Charpentier has written a really nice blog post about obtaining hurricane tracks and plotting them. He then goes on to do other clever Markov process models, but as a dataviz guy who knows almost nothing about meteorology, I want to … Continue reading →

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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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Overcoming D3 Cartographic Envy With R + ggplot

September 25, 2014
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Overcoming D3 Cartographic Envy With R + ggplot

When I used one of the Scotland TopoJSON files for a recent post, it really hit me just how much D3 cartography envy I had/have as an R user. Don’t get me wrong, I can conjure up D3 maps pretty well and the utility of an interactive map visualization goes without saying, but

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Google location data — Where I’ve been.

September 25, 2014
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Google location data — Where I’ve been.

I was emailed by a friend that was looking into their google location data and had asked if I had ever used a json file before in R. I said I had not, but I knew there were packages to do such things. The things I sent were things he had already tried,...

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Google location data — Where I’ve been.

September 25, 2014
By
Google location data — Where I’ve been.

I was emailed by a friend that was looking into their google location data and had asked if I had ever used a json file before in R. I said I had not, but I knew there were packages to do such things. The things I sent were things he had already tried,...

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DescTools: a new R "misc package"

September 25, 2014
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DescTools: a new R "misc package"

by Joseph Rickert One of the most difficult things about R, a problem that is particularly vexing to beginners, is finding things. This is an unintended consequence of R's spectacular, but mostly uncoordinated, organic growth. The R core team does a superb job of maintaining the stability and growth of the R language itself, but the innovation engine for...

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Adding Google Drive Times and Distance Coefficients to Regression Models with ggmap and sp

September 24, 2014
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Adding Google Drive Times and Distance Coefficients to Regression Models with ggmap and sp

Space, a wise man once said, is the final frontier. Not the Buzz Alrdin/Light Year, Neil deGrasse Tyson kind (but seriously, have you seen Cosmos?). Geographic space. Distances have been finding their way into metrics since the cavemen (probably). GIS seem to make nearly every science way more fun…and accurate! Most of my research deals with

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