149 search results for "geographical"

Working with geographical Data. Part 1: Simple National Infomaps

December 21, 2012
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Working with geographical Data. Part 1: Simple National Infomaps

There is a popular expression in my country called “Gastar polvora en chimangos”, whose translation in English would be “spending gunpowder in chimangos”. Chimango is a kind of bird whose meat is useless for humans. So “spending gunpowder in chimangos” … Continue reading →

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A brief script on Geographical data analysis in R

A brief script on Geographical data analysis in R

I saw this post and I decided to replicated that good example but with data closer to me, particulary data of my country. So, I've got the shape data of the capital of my country (You can download the data from here). The data comes from the 2002 CENSO...

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How to map geographically-detailed survey responses?

January 17, 2012
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David Sparks writes: I am experimenting with the mapping/visualization of survey response data, with a particular focus on using transparency to convey uncertainty. See some examples here. Do you think the examples are successful at communicating both local values of the variable of interest, as well as the lack of information in certain places? Also, The post How...

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Creating 3D geographical plots in R using RGL

July 11, 2011
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Creating 3D geographical plots in R using RGL

I've been playing around with the rgl package in the last week, as part of an ongoing quest to come up with nice-looking (but more importantly, useful) data vizualisations. It's a nice little package, and once you've run through the excell...

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R tutorial on the Apply family of functions

July 28, 2015
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R tutorial on the Apply family of functions

Introduction In our previous tutorial Loops in R: Usage and Alternatives , we discussed one of the most important constructs in programming: the loop.  Eventually we deprecated the usage of loops in R in favor of vectorized functions. In this post we highlight some of the most used vectorized functions: the apply functions. In the present post we show the use The post

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Time series outlier detection (a simple R function)

July 8, 2015
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Time series outlier detection (a simple R function)

(By Andrea Venturini) Imagine you have a lot of time series – they may be short ones – related to a lot of different measures and very little time to find outliers. You need something not too sophisticated to solve quickly the mess. This is – very shortly speaking – the typical situation in which you can adopt washer.AV()...

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Exploring the Demographics of Ferguson, Missouri

July 2, 2015
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Exploring the Demographics of Ferguson, Missouri

One interesting feature of Census data is that it can help us to better understand current events and claims by the media. For example, the news coverage of the shooting of Michael Brown in Ferguson, Missouri often reported that Ferguson is predominately black, while the police officers are predominately white. This video by PBS Newshour The post

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Stop and Frisk: Spatial Analysis of Racial Discrepancies

June 23, 2015
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Stop and Frisk: Spatial Analysis of Racial Discrepancies

In my last post, I compiled and cleaned publicly available data on over 4.5 million stops over the past 11 years. I also presented preliminary summary statistics showing that blacks had been consistently stopped 3-6 times more than whites over the last decade in NYC. Since the last post, I managed to clean and reformat the … Continue reading...

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Shiny App for the Wittgenstein Centre Population Projections

June 15, 2015
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Shiny App for the Wittgenstein Centre Population Projections

A few weeks ago a new version of the the Wittgenstein Centre Data Explorer was launched. The data explorer is intended to disseminate the results of a recent global population projection exercise which uniquely incorporates level of education (as well as age … Continue reading →

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Cluster analysis on earthquake data from USGS

June 1, 2015
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Cluster analysis on earthquake data from USGS

Theoretical BackgroundIn some cases we would like to classify the events we have in our dataset based on their spatial location or on some other data. As an example we can return to the epidemiological scenario in which we want to determine if the spread of a certain disease is affected by the presence of a particular source of...

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