1144 search results for "MAPS"

Mapping every IPv4 address

September 15, 2014
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Mapping every IPv4 address

During July I was working with a commercial data source that provides extra data around IP addresses and it dawned on me: rather than pinging billions of IP addresses and creating map, I could create a map from all the geolocation data I had at my finger tips. At a high level I could answer “Where are all the IPv4 addresses worldwide?” But in...

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PCA / EOF for data with missing values – a comparison of accuracy

September 15, 2014
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PCA / EOF for data with missing values – a comparison of accuracy

Not all Principal Component Analysis (PCA) (also called Empirical Orthogonal Function analysis, EOF) approaches are equal when it comes to dealing with a data field that contain missing values (i.e. "gappy"). The following post compares several methods by assessing the accuracy of the derived PCs to reconstruct the "true" data set, as was similarly...

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Next Kölner R User Meeting: Friday, 12 September 2014

September 9, 2014
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Next Kölner R User Meeting: Friday, 12 September 2014

The next Cologne R user group meeting is scheduled for this Friday, 12 September 2014.We have a great agenda with international speakers: Maarten-Jan Kallen: Introduction to Renjin, the R interpreter for the JVM Jonathan Cornelissen, Martijn Theuwissen: DataCamp - An online interactive learning platform for R The event will be followed by drinks and schnitzel...

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ASDAR book Review

September 8, 2014
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ASDAR book Review

I was recently invited to write a book review for Applied Spatial Analysis and Policy (ASAP). The book, I conclude, “is the authoritative resource on R’s spatial capabilities” and should be of interest to many R users. Below is a preprint of the full review, now published on ASAP’s website. As a geographer and heavy R user,...

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Transport Map Book

September 8, 2014
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Transport Map Book

The Transport Map Books are available for each local authority district in England and present a series of maps related to commuting behaviour. The data are derived from multiple sources including: the 2011 Census, Department for Transport estimates and the results of a research project looking at carbon dioxide emissions linked to the...

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In case you missed it: August 2014 Roundup

September 5, 2014
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In case you missed them, here are some articles from August of particular interest to R users: R is the most popular software in the KDNuggets poll for the 4th year running. The frequency of R user group meetings continues to rise, and there are now 147 R user groups worldwide. A video interview with David Smith, Chief Community...

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Attention Is Preference: A Foundation Derived from Brand Involvement Segmentation

September 1, 2014
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Attention Is Preference: A Foundation Derived from Brand Involvement Segmentation

"A wealth of information creates a poverty of attention."Herbert SimonWe categorize our world so that we can ignore most of it. In order to see figure, everything else must become ground. Once learned, the process seems automatic, and we forget how har...

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Spatial Data Visualization with R

August 31, 2014
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Spatial Data Visualization with R

I’ve been fooling around with spatial data lately. As it turns out, there are some great R packages for visualizing this kind of data. Below is a set of charts I put together. It’s a good sample of the possibilities. Motherjones.com keeps a dataset with characteristics of every mass shooting since 1983. The location of each shooting is marked on the map … Continue reading...

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A Brief Introduction to Plotly

August 28, 2014
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A Brief Introduction to Plotly

This is a guest post by Matt Sundquist. Matt studied philosophy at Harvard and is a Co-founder at Plotly. He previously worked for Facebook’s Privacy Team, has been a Fulbright Scholar in Argentina and a Student Fellow of the Harvard Law School Program on the Legal Profession, and wrote about the Supreme Court for SCOTUSblog.com. Emailing… Continue reading →

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Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

August 25, 2014
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Continuous or Discrete Latent Structure? Correspondence Analysis vs. Nonnegative Matrix Factorization

A map gives us the big picture, which is why mapping has become so important in marketing research. What is the perceptual structure underlying the European automotive market? All we need is a contingency table with cars as the rows, attributes as the ...

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