133 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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Simple Data Science Of Global Warming In KDnuggets

January 20, 2015
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Simple Data Science Of Global Warming In KDnuggets

Would love to get a post from you for KDnuggets (Gregory Piatetsky, KDnuggets President) Some days ago, Gregory Piatetsky invited me to write a post for KDnuggets. I couldn’t say no. He suggested to me some topics and I decided to experiment around climate change to demonstrate how easy is to see some evidences of … Continue reading...

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Using and interpreting different contrasts in linear models in R

January 13, 2015
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Using and interpreting different contrasts in linear models in R

When building a regression model with categorical variables with more than two levels (ie “Cold”, “Freezing”, “Warm”) R is doing internally some transformation to be able to compute regression coefficient. What R is doing is that it is turning your categorical variables into a set of contrasts, this number of contrasts is the number of

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Making Static & Interactive Maps With ggvis (+ using ggvis maps w/shiny)

December 29, 2014
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Making Static & Interactive Maps With ggvis (+ using ggvis maps w/shiny)

Even though it’s still at version 0.4, the ggvis package has quite a bit of functionality and is highly useful for exploratory data analysis (EDA). I wanted to see how geographical visualizations would work under it, so I put together six examples that show how to use various features of ggvis for presenting static &

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Create an R-tree data structure using Rcpp and Boost::Geometry

December 26, 2014
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Create an R-tree data structure using Rcpp and Boost::Geometry

Introduction The purpose of this post is to show how to use Boost::Geometry library which was introduced recently in Rcpp. Especially, we focus on R-tree data structure for searching objects in space because only one spatial index is implemented - R-tree Currently in this library. Boost.Geometry which is part of the Boost C++ Libraries gives us algorithms for solving geometry problems. In this library, the...

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Hierarchical Clustering with R (feat. D3.js and Shiny)

December 14, 2014
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Hierarchical Clustering with R (feat. D3.js and Shiny)

Agglomerative hierarchical clustering is a simple, intuitive and well-understood method for clustering data points. I used it with good results in a project to estimate the true geographical position of objects based on measured estimates. With this tutorial I would … Continue reading →

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R, an Integrated Statistical Programming Environment and GIS

November 27, 2014
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R, an Integrated Statistical Programming Environment and GIS

This article was originally published in Geoinformatics magazine. R is well known as a powerful, extensible and relatively fast statistical programming language and open software project with a command line interface (CLI). What is less well known is that R also has cutting edge spatial packages that allow it to behave as a fully featured Geographical Information System...

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