804 search results for "MAPS"

Shiny Server – Earthshattering News

December 4, 2012
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Shiny Server – Earthshattering News

As you probably know, I am one of the strongest proponents of the Shiny package for developing interactive web applications Amongst the latest news from RStudio is that what was planned to be commercial software will now be free and Open Source (AGPLv3 license) To celebrate this momentous announcement, I have produced an Earthquake app.

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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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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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Mapping Current Average Price Per Sqft for Rentals by Zip in San Fran

November 25, 2012
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Mapping Current Average Price Per Sqft for Rentals by Zip in San Fran

My company, Kwelia, is sitting on mountains of data, so I decided to try my hand at mapping.  I have played around with JGR but it’s just too buggy, at least on my mac, so I went looking for other alternatives and found a good write up here.  I decided on mapping prices per sqft

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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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Controlling heatmap colors with ggplot2

November 22, 2012
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Controlling heatmap colors with ggplot2

One of the most popular posts on this blog is the very first one, solving the issue of mapping certain ranges of values to particular colors in heatmaps. Given the abundance of ggplot2 usage in R plotting, I thought I’d … Continue reading →

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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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The Hour of Hell of Every Morning – Commute Analysis, April to October 2012

November 19, 2012
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The Hour of Hell of Every Morning – Commute Analysis, April to October 2012

IntroductionSo a little while ago I quit my job.Well, actually, that sounds really negative. I'm told that when you are discussing large changes in your life, like finding a new career, relationship, or brand of diet soda, it's important to frame things positively.So let me rephrase that - I've left job I previously held to pursue other directions. Why?...

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Datacentric product development and the rebirth of engineering

November 17, 2012
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Datacentric product development and the rebirth of engineering

An old irony in New York is the ubiquity of the ‘gourmet deli’. It is hard to find a deli …Continue reading »

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On Box-Cox transform in regression models

November 13, 2012
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On Box-Cox transform in regression models

A few days ago, a former student of mine, David, contacted me about Box-Cox tests in linear models. It made me look more carefully at the test, and I do not understand what is computed, to be honest. Let us start with something simple, like a linea...

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