http://www.thehindu.com/elections/gujarat-2017/voting-trends-show-a-clear-rural-urban-divide-for-cong-bjp-in-gujarat/article21285328.ece



Interesting considering both Susewind and Ramani are part of DataMeet
community. It would be great to have an how-to. Either audio or text.


Quote from from the article:

Social anthropologist Raphael Susewind’s work on Gujarat was used to arrive
at this. Dr. Susewind merges NASA’s urban-rural classifications (MODIS
data) based on satellite information and the Election
<http://www.thehindu.com/tag/1369-1349/election/?utm=bodytag>Commission’s
polling booth data to identify if a booth is located in a rural or an urban
setting. MODIS data classifies urban areas into highly urban, semi-urban,
etc. in a scale of 1 to 9 (the lower number corresponds to higher
urbanity). Sixty five per cent of the electorate voted in booths in rural
areas while the rest in various urban classifications.

Thej
--
Thejesh GN *⏚* ತೇಜೇಶ್ ಜಿ.ಎನ್
http://thejeshgn.com
GPG ID :  0xBFFC8DD3C06DD6B0

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