2281 search results for "map"

Earthquakes Over the Past 7 Days

November 29, 2012
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Earthquakes Over the Past 7 Days

This is a brief example using the maps in R and to highlight a source of data.  This is real-time data and it comes from the U.S. Geological Society.  This shows the location of earthquakes with magnitude of at least 1.0 in the lower 48 states. library(maps) library(maptools) library(rgdal) eq = read.table(file="http://earthquake.usgs.gov/earthquakes/catalogs/eqs7day-M1.txt", fill=TRUE, sep=",", header=T) plot.new()

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Shiny is the new Cool

November 29, 2012
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Shiny is the new Cool

Several of you will probably have tried out the new Shiny package brought to the table by the RStudio guys This is just what I have been looking for and to my mind could provide a quantum leap in the use of R. There have been other packages addressing the need for web user interactivity

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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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I give up, I am embracing pie charts

November 27, 2012
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I give up, I am embracing pie charts

Most statisticians know that pie charts are a terrible way to plot percentages. You can find explanations here, here, and here as well as the R help file for the pie function which states: Pie charts are a very bad … Continue reading →

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Spatial Data visualization with R

November 27, 2012
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Spatial Data visualization with R

I have published the first version of the code and main figures of the “Spatial Data” chapter of the forthcoming …Continuar leyendo »

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How to: network animation with R and the iGraph package & Meaning in data viz

November 27, 2012
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How to: network animation with R and the iGraph package & Meaning in data viz

This article lists the steps I take to create a network animation in R, provides some example source code that you can copy and modify for your own work, and starts a discussion about programming and visualization as an interpretive approach in research. Before I start, take a look at this network animation created with

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why and how to install monetdb with r on windows

November 26, 2012
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warning: the instructions below are obsolete.  please check this page for the latest version.  <3 anthony whya speed test of three sql queries on sixty-seven million records using my personal computer --# calculate the sum, mean, median, a...

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Modis R: Package tutorial

November 24, 2012
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Modis R: Package tutorial

The MODIS package for R For people who work in GIS in R there has been a bit of challenge in working with data from  Modis. I’ll use an example from my own work on UHI to illustrate. A while back I decided that I wanted to look at albedo data from MODIS.  If you

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Data types, part 3: Factors!

November 21, 2012
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Data types, part 3: Factors!

In this third part of the data types series, I'll go an important class that I skipped over so far: factors.Factors are categorical variables that are super useful in summary statistics, plots, and regressions. They basically act like dummy variables t...

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IPython vs RStudio+knitr

November 21, 2012
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IPython vs RStudio+knitr

At a meeting last night with some collaborators at the Vélobstacles project, I was excitedly told about the magic of IPython and it’s notebook functionality for reproducible research. This sounds familiar, I thought to myself. Using a literate programming approach to integrate computation with the communication of methodology and results has been at the core

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