1198 search results for "maps"

Seeing India through Food – An Experiment in Multidimensional Scaling

January 7, 2015
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Seeing India through Food – An Experiment in Multidimensional Scaling

The ‘Household Consumption of Various Goods and Services in India’ report from the National Sample Survey Office (NSSO), Government of India includes survey data on the monthly per capita quantity of consumption of selected food items. The report is available from http://mospi.nic.in/Mospi_New/Admin/publication.aspx (a registration is required). The per capita quantity of consumption data is provided

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Seeing India through Food – An Experiment in Multidimensional Scaling

January 7, 2015
By
Seeing India through Food – An Experiment in Multidimensional Scaling

The ‘Household Consumption of Various Goods and Services in India’ report from the National Sample Survey Office (NSSO), Government of India includes survey data on the monthly per capita quantity of consumption of selected food items. The report is available from http://mospi.nic.in/Mospi_New/Admin/publication.aspx (a registration is required). The per capita quantity of consumption data is provided

Read more »

Mapping Seattle Crime

January 6, 2015
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Mapping Seattle Crime

Last week I published a data visualization of San Francisco crime. This week, I’m mapping Seattle crime data. The map above is moderately complicated to create, so I’ll start this tutorial with a simpler case: the dot distribution map. Seattle crime map, simplified version First, we’ll start by loading the data. Note that I already The post

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Automatic Detection of the Language of a Tweet

January 5, 2015
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Two days ago, in my post to extract automatically my own tweets, and to generate some html list, I mentioned that it would be great if there were a function that could be used to distinguish tweets in English, and tweets in French (usually, I tweet in one of those two languages). And one more time, @3wen came to...

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An automatic code to extract tweets (and to produce the “Somewhere else” review)

January 3, 2015
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A few weeks ago, I ask in a post the (simple) question "dear reader, who are you?" just to know more about the readers of my blog. I found that extremely interesting (even if - to be honest - I was expecting more answers to start a more serious sociological study of the readers of my blog). And an...

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Mapping IPv4 Address (with Hilbert curves) in R

January 2, 2015
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Mapping IPv4 Address (with Hilbert curves) in R

While there’s an unholy affinity in the infosec commuinty with slapping IPv4 addresses onto a world map, that isn’t the only way to spatially visualize IP addresses. A better approach (when tabluation with bar charts, tables or other standard visualization techniques won’t do) is to map IPv4 addresses into Hilbert space-filling curve. You can get a good feel...

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Happy New Year! A look at the top posts from 2014.

January 1, 2015
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Happy New Year everyone! Another year has come and gone, and this blog has just entered its seventh year of publication. (Once again, I missed the anniversary back on December 9.) Thanks to everyone who has supported this blog over the past 6 years by reading, sharing and commenting on our posts. And an extra- special thanks to all...

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Mapping San Francisco crime

December 30, 2014
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Mapping San Francisco crime

When I was working as a data scientist at Apple in Silicon Valley, I’d drive up to San Francisco on nights and weekends to meet a girl for dinner or go to a meetup. I sort of fell in love with the city, and ... The post Mapping San Francisco crime appeared first on SHARP SIGHT LABS.

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

December 26, 2014
By
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...

Read more »

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