128 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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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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Basic mapping and attribute joins in R

November 9, 2014
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Basic mapping and attribute joins in R

This post is based on the free and open source Creating-maps-in-R teaching resource for introducing R as a command-line GIS. R is well known as an language ideally suited for data processing, statistics and modelling. R has a number of spatial packages, allowing analyses that would require hundreds of lines of code in other languages to be implemented with...

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solar navigation

November 9, 2014
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solar navigation

Introduction Solar altitude is a function of time, longitude and latitude, and so it can be possible to infer location based on measuring altitude as a function of time. This form of solar navigation can be based on sunrise and sunset times, at least on non-equinox days. I have explored this for a school-based project I call “SkyView” involving light sensors and Arduino microcontrollers,...

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Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM)

October 7, 2014
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Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM)

An analysis of where the SJDM members are from in the world. The post Part 2 of Who We Are: Society for Judgment and Decision Making (SJDM) appeared first on Decision Science News.

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Adding Google Drive Times and Distance Coefficients to Regression Models with ggmap and sp

September 24, 2014
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Adding Google Drive Times and Distance Coefficients to Regression Models with ggmap and sp

Space, a wise man once said, is the final frontier. Not the Buzz Alrdin/Light Year, Neil deGrasse Tyson kind (but seriously, have you seen Cosmos?). Geographic space. Distances have been finding their way into metrics since the cavemen (probably). GIS seem to make nearly every science way more fun…and accurate! Most of my research deals with

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