1198 search results for "maps"

Downloading and Visualizing Seismic Events from USGS

April 28, 2015
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Downloading and Visualizing Seismic Events from USGS

The unlucky events that took place in Nepal have flooded the web with visualization of the earthquakes from USGS. They normally visualize earthquakes with a colour scale that depends on the age of the event and a marker size that depends on magnitude. I remembered that some time ago I tested ways for downloading and visualizing data from USG...

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Hash Table Performance in R: Part III In Part I of this series, I explained how R hashed…

April 17, 2015
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Hash Table Performance in R: Part III In Part I of this series, I explained how R hashed environments are superior to vectors or lists when you’re in need of an associative array. In Part II I explained the three main operations you want to perform on hash tables and how you should implement them for optimal performance. This time around...

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Project Tycho, ggplot2 and the shameless stealing of blog ideas

April 14, 2015
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Project Tycho, ggplot2 and the shameless stealing of blog ideas

Last week, Mick Watson posted a terrific article on using R to recreate the visualizations in this WSJ article on the impact of vaccination. Someone beat me to the obvious joke. @BioMickWatson @pathogenomenick Nice quilt plot. — Ed Yong (@edyong209) April 9, 2015 Someone also beat me to the standard response whenever base R graphics

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Project Tycho, ggplot2 and the shameless stealing of blog ideas

April 14, 2015
By
Project Tycho, ggplot2 and the shameless stealing of blog ideas

Last week, Mick Watson posted a terrific article on using R to recreate the visualizations in this WSJ article on the impact of vaccination. Someone beat me to the obvious joke. @BioMickWatson @pathogenomenick Nice quilt plot. — Ed Yong (@edyong209) April 9, 2015 Someone also beat me to the standard response whenever base R graphics

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Mapping Flows in R … with data.table and lattice

Mapping Flows in R … with data.table and lattice

Some days ago James Cheshire published the post Mapping Flows in R. I have implemented an alternative (faster) version using …Sigue leyendo →

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Mixing Numbers and Symbols in Time Series Charts

April 8, 2015
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Mixing Numbers and Symbols in Time Series Charts

One of the things I’ve been trying to explore with my #f1datajunkie projects are ways of representing information that work both in a glanceable way as well as repaying deeper reading. I’ve also been looking at various ways of using text labels rather than markers to provide additional information around particular data points. For example,

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Exploring San Francisco with choroplethrZip

April 7, 2015
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Exploring San Francisco with choroplethrZip

by Ari Lamstein Introduction Today I will walk through an analysis of San Francisco Zip Code Demographics using my new R package choroplethrZip. This package creates choropleth maps of US Zip Codes and connects to the US Census Bureau. A choropleth is a map that shows boundaries of regions (such as zip codes) and colors those regions according to...

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Using genomation to analyze methylation profiles from Roadmap epigenomics and ENCODE

March 31, 2015
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Using genomation to analyze methylation profiles from Roadmap epigenomics and ENCODE

The genomation package is a toolkit for annotation and visualization of various genomic data. The package is currently in developmental version of BioC. It allows to analyze high-throughput data, including bisulfite sequencing data. Here, we will visualize the distribution of CpG methylation around promoters and their locations within gene structures on human chromosome 3.Heatmap and...

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SOMbrero v1.0 is released

March 28, 2015
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SOMbrero v1.0 is released

New !!! SOMbrero is now on CRAN: http://cran.r-project.org/web/packages/SOMbrero You can visit its Web User Interface: http://shiny.nathalievilla.org/sombrero (SOMbrero WUI, v1.0 related to SOMbrero v1.0). The web user interface can also be used directly from the package with the function sombreroGUI(). SOMbrero is an R package dedicated to online (also called "on-line") Self-Organizing Maps. The version 0.4-1 of the

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Machine Learning in R for beginners

March 25, 2015
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Machine Learning in R for beginners

Introducing: Machine Learning in R Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions, for example. The post

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