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*Powerful visualization support
<blockquote>Kamada-Kawai optimization, Fruchterman Reingold optimization, VOS mapping, Pivot MDS, drawing in layers, FishEye transformation. Layouts obtained by Pajek can be exported to different 2D or 3D output formats (e.g., SVG, EPS, X3D, VOSViewer, Mage,…). Special viewers and editors for these formats are available (e.g., inkscape, GSView, instantreality, KiNG,…)</blockquote>
==Geo-Visualization==
<blockquote>In layman terms, mapping.</blockquote>
While there are a large collection of geo-visualization tools available on github, I have listed here several collections that stand out in terms of:
*'''Flexibility'''
*'''Portability'''
*'''Aesthetic'''
I imagine that geo-visualizations projects we do at McNair should offer beautiful, accessible graphic outputs as well as launchpad/integration with other analysis tools.
===The Mapbox Suite===
====In a nutshell====
*Most aesthetically pleasing geo-visualization output I have seen, thus far
*Open-source technology from end-to-end
*Researcher-friendly - i.e. geo-viz built on mapbox creates a information-rich and nuanced UI for researchers to play around with/lookup the data that they seek. CEO Eric Gunderson puts it in some beautiful words: "(mapbox visualizations) let you explore the stories of space, language, and access to technology."
====How it works====
We need:
*Raw access to the Twitter firehose
*Billions of tweets
*Tweet processor - '''in addition to geo-data, we can visualize the language, mobile device type and other data stored in tweets'''
*De-duplicator [https://github.com/ericfischer/geotools/blob/master/cleanse.c Geotools on github by data artist Eric Fischer] - reduce overlapping geo-data
*Raw map tiles generator [https://github.com/ericfischer/datamaps Datamaps on github by data artist Eric Fischer]
*MB tiles compiler [https://github.com/mapbox/mbutil Mapbox Utilities on github] - formatting sync
*Upload tool [https://www.mapbox.com/tilemill/ Tilemill]
*Mapbox itself, which includes Mapbox.js - creates UI for researchers to view, use and extract information from the maps we built
====Demo====
The following map identifies locals from tourists who tweets in the Greater NYC
<blockquote>To make this map, Tweets are grouped by user and sorted into locals—who post in one city for one consecutive month—and tourists—whose tweets are center in another city. Relatively inactive users simply don’t appear on the map, since we can’t confidently determine their group.</blockquote>
[[File:Capture 27.PNG|600px|none]]
