173 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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Clustering French Cities (based on Temperatures)

February 11, 2016
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Clustering French Cities (based on Temperatures)

In order to illustrate hierarchical clustering techniques and k-means, I did borrow François Husson‘s dataset, with monthly average temperature in several French cities. > temp=read.table( + "http://freakonometrics.free.fr/FR_temp.txt", + header=TRUE,dec=",") We have 15 cities, with monthly observations > X=temp > boxplot(X) Since the variance seems to be rather stable, we will not ‘normalize’ the variables here, > apply(X,2,sd) Janv Fevr Mars...

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Google Geo Data – Data Access Without Restrictions

January 18, 2016
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Google Geo Data – Data Access Without Restrictions

Geo-Distances are of great importance: Researchers from various disciplines refer to geographic distances – health researchers refer to geographic data when analyzing the spread of diseases, economists when evaluating the impact of transaction costs on human behavior, or sociologists when evaluating interpersonal distances (based on external factors) in human interaction. However, each query sent to The post

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stplanr 0.1.1

January 17, 2016
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Version 0.1.1 of the package stplanr has been released on CRAN. This is a major update with many new functions and a new class definition, SpatialLinesNetwork, for route planning and network analysis using igraph. This short post, by myself and package co-author Richard Ellison describes how stplanr can be used for transport research with a few simple...

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First step on GIS with R

January 17, 2016
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First step on GIS with R

The PM 2.5 checker written by R has been working nicely for me.  I put a shortcut icon of this small script on my desktop PC, to check the air … Continue reading →

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Who needs R tutorials? Sharing DataCamp’s user stats and insights.

January 14, 2016
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Who needs R tutorials? Sharing DataCamp’s user stats and insights.

When one builds an online education start-up around R tutorials, 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, thereby turning...

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R and education: a survey on the use of R in education

January 14, 2016
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R and education: a survey on the use of R in education

Main takeaways from the survey on R in education There is a need to train students in R since a large majority of respondents that use R professionally expect its market share to further increase. Large interest from both academics and students in online interactive R and statistics courses. Highest interest in free courses and only small fraction interested in paying...

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