Maps Et Al

Sometime back I had prepared this list of map and data visualization related projects that seemed interesting to me, while preparing for a workshop. Sharing with all.

Some were tough to separate across I & II. I just took a call. Here goes...

I. Simple putting together of data on a map - 

1. http://voiceofkibera.org/main - The mothership
2. http://empire.is/
3. http://www.transparentchennai.com/maps/#
4. https://delhidigests.org/#
5. http://visual.ly/visa-mapper?view=true
6. http://flowingdata.com/2013/09/03/most-popular-porn-searches-by-state/
7. https://maps.google.com/maps/ms?vps=2&hl=en&ie=UTF8&oe=UTF8&msa=0&msid=213281544174043702623.0004b617c56e89532fff9&dg=feature
8. http://www.nytimes.com/newsgraphics/2013/07/21/silk-road/ - This style of showing information is quite amazing. Think of showing how your garbage flows through the city, or how any commodity you buy travels from source to the market, or how people involved in producing what you consume move to manufacture your commodity. (This is almost a photo essay in itself!)
9. http://www.nytimes.com/interactive/2011/02/27/us/natural-gas-map.html
10. http://www.nytimes.com//interactive/2009/07/10/world/20090711-xinjiang.html
11. http://www.nytimes.com/interactive/2007/08/28/us/2007_NOLA_GRAPHIC.html
12. http://www.nytimes.com/interactive/2008/09/13/us/20080913-ike-map.html
13. http://content.stamen.com/creepymaps
14. http://city.stamen.com/heat/
15. http://www.altsean.org/Photogalleries/ProtestsMap.php

II. Bringing out co-relations through maps:

1. http://www.richblockspoorblocks.com/
2. http://www.nytimes.com/2013/07/22/business/in-climbing-income-ladder-location-matters.html?_r=0
3. http://en.wikipedia.org/wiki/1854_Broad_Street_cholera_outbreak 
4. http://datastories.in/blog/2013/04/01/indias-5-percent/ and every other map on this blog. What a site!
5. http://datastories.in/blog/2013/08/24/mapping-poverty-in-uttar-pradesh/
6. http://erasmus.ahoi.in/
7. http://www.nytimes.com/packages/html/business/20080402_GLOBALCHARTS/global.gif
8. http://www.nytimes.com/interactive/2008/09/29/business/20080929-CONGRESS-VOTE-GRAPHIC.html

III. Bringing out co-relations through non-map visualizations:

1. http://viz.ged-project.de/
2. http://www.nytimes.com//interactive/2009/07/31/business/20080801-metrics-graphic.html
3. http://www.nytimes.com/interactive/2009/09/14/business/bailout-assessment.html?_r=0
4. http://theofficeof.feltron.com/Print-Magazine
5. http://www.nytimes.com/imagepages/2008/01/06/opinion/06opchart.ready.html
6. http://datastories.in/blog/2013/03/14/the-power-divide/
7. http://datastories.in/blog/2013/05/05/comparing-inequalities
8. http://guns.periscopic.com/?year=2013

IV. Guides/Examples:

1. https://howto.informationactivism.org/
2. https://visualisingadvocacy.org/resources/visualisationtools

V. JLT. Fun :-)

1. http://www.nytimes.com/interactive/2012/08/05/sports/olympics/the-100-meter-dash-one-race-every-medalist-ever.html?hp&hp

VI. Ideas that I have had over the last 2-3 days, whatever I can remember now - 

Ideas:

1. Green cover & economic status
2. Color code to see which member of parliament voted which way for ( a la http://www.theguardian.com/news/datablog/interactive/2013/feb/06/gay-marriage-vote-map-mp )
1. Women's reservation bill
2. FDI?
3. Land Acquisition
4. etc...
3. Color code constituencies to show:
1. MPs with criminal cases pending
2. Assets of MPs - Very interesting. Split by party, age, religion, no. of terms as MPs.