1198 search results for "MAPS"

Call for participation: AusDM 2014, Brisbane, 27-28 November

October 25, 2014
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Call for participation: AusDM 2014, Brisbane, 27-28 November

********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. Since AusDM’02 the conference … Continue reading →

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Using WrightMap with the TAM package

October 24, 2014
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Using WrightMap with the TAM package

WrightMap features close integration with Conquest, allowing you to easily read from its output files. However, this is just a nice convenience for Conquest users, as WrightMap was designed to create beautiful item-person plots simply reading standard R matrices; all you need is a matrix of item parameters and a matrix of person estimates and you can start creating...

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Making an R Package to use the HERE geocode API

October 23, 2014
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HERE is a product by Nokia, formerly called Nokia maps and before that, Ovi maps. It's the result of the acquisition of NAVTEQ in 2007 combined with Plazes and Metacarta, among others. It has a geocoding API, mapping tiles, routing services, and other things. I'm focused on the geocoding service. Under the “Base” license,...

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Modeling Plenitude and Speciation by Jointly Segmenting Consumers and their Preferences

October 21, 2014
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Modeling Plenitude and Speciation by Jointly Segmenting Consumers and their Preferences

In 1993, when music was sold in retail stores, it may have been informative to ask about preference across a handful of music genre. Today, now that the consumer has seized control and the music industry has responded, the market has exploded into more...

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R User Groups and "after hours" Creativity

October 16, 2014
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R User Groups and "after hours" Creativity

by Joseph Rickert There is something about R user group meetings that both encourages, and nourshies a certain kind of "after hours" creativity. Maybe it is the pressure of having to make a presentation about stuff you do at work interesting to a general audience, or maybe it is just the desire to reach a high level of play....

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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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