2443 search results for "Map"

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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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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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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WrightMap and TAM – Example continued…

December 29, 2014
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WrightMap and TAM – Example continued…

As a follow up on the previous about integrating the TAM and WrightMap packages, we received a message from one of the TAM developers, Alexander Robitzsch, suggesting that it is possible to generate the Wright Map directly from the MML estimated distribution (instead of using the WLE estimates used in the previous post). Let’s start with the same setup: library(TAM) library(WrightMap) data( sim.rasch...

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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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maps and the art of survey-weighted maintenance

December 9, 2014
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maps and the art of survey-weighted maintenance

introducing swmap: cartography with complex survey data. this collection of publicly-available r syntax implements granular geographic variation visualizations similar to those seen in the popular press without compromising on survey methodology.thanks to david rae, paul regular, joseph larmarange, djalma pessoa, hadley wickham, thomas lumley, john baumgartner, viviane quintaes,

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Mucking around with maps, schools and ethnicity in NZ

December 7, 2014
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Mucking around with maps, schools and ethnicity in NZ

I’ve been having a conversation for a while with @kamal_hothi and @aschiff on maps, schools, census, making NZ data available, etc. This post documents some basic steps I used for creating a map on ethnic diversity in schools at the census-area-unit level. This “el quicko” version requires 3 ingredients: Census area units shape files (available

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Cindy Brewer: helping you choose better color scales for maps

December 5, 2014
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Cindy Brewer: helping you choose better color scales for maps

The choice of colors you use in a statistical graphic isn't just about making your chart look good: the colors you choose are often critical to interpretation. For example, you wouldn't want to use a scale like this to represent, say, average income on a map: That palette would be suitable for qualitative data without implicit ordering (say, political...

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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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Quarterback Completion Heatmap Using dplyr

October 26, 2014
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Quarterback Completion Heatmap Using dplyr

Several months ago, I found Bryan Povlinkski's (really nicely cleaned) dataset with 2013 NFL play-by-play information, based on data released by Brian Burke at Advanced Football Analytics. I decided to browse QB completion rates based on Pass Location (Left, Middle, Right), Pass Distance (Short or Deep), and Down....

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