119 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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Reasonable Inheritance of Cluster Identities in Repetitive Clustering

August 15, 2014
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Reasonable Inheritance of Cluster Identities in Repetitive Clustering

… or Inferring Identity from Observations Let’s assume the following application: A conservation organisation starts a project to geographically catalogue the remaining representatives of an endangered plant species. For that purpose hikers are encouraged to communicate the location of the plant … Continue reading →

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Vtreat: designing a package for variable treatment

August 7, 2014
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Vtreat: designing a package for variable treatment

When you apply machine learning algorithms on a regular basis, on a wide variety of data sets, you find that certain data issues come up again and again: Missing values (NA or blanks) Problematic numerical values (Inf, NaN, sentinel values like 999999999 or -1) Valid categorical levels that don’t appear in the training data (especially Related posts:

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Shifting Centre of Gravity of US Fossil Fuel Production

July 27, 2014
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Shifting Centre of Gravity of US Fossil Fuel Production

My research Fracking Growth investigates the localised impacts of the current oil and gas production boom in the US. The boom is triggered by extraction of oil and gas deposits, that were previously not possible to exploit. The shale deposits have become technologically recoverable due to a combination of horizontal drilling technology and hydraulic fracturing, which

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What are the names of the school principals in Mexico?, If your name is Maria, probably this post will interest you. Trends and cool plots from the national education census of Mexico in 2013

What are the names of the school principals in Mexico?, If your name is Maria, probably this post will interest you. Trends and cool plots from the national education census of Mexico in 2013

I will start this post with a disclaimer:The main intention of the post is to show how is the distribution of the school principal names in Mexico, for example, to show basic trends regarding about what is the most common nation-wide first name and so ...

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Coloring the world – Extracting user specific color palettes from Tableau Workbooks

June 22, 2014
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Coloring the world – Extracting user specific color palettes from Tableau Workbooks

If you read some of my last blog post you may notice that R got a new companion called Tableau. Tableau is an easy to use and mighty BI toolbox for visualizing all kinds of data and I suggest everybody to give it a trial. One of the things that I like very much is that it gives...

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Who wants to learn R? Sharing DataCamp’s user stats and insights.

June 16, 2014
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Who wants to learn R? Sharing DataCamp’s user stats and insights.

When building an online education start-up for R the number one criterion to meet is the following: identify an increasing interest in learning R online. Once this box is checked, it is time to start thinking of the second most important criterion: establish a teaching approach that makes people so excited that they keep coming back to learn more,

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