Such an amazing dataset of polling booths, thank you for putting this
together Raphael.

Have uploaded this to Mapbox if anyone wants to try to visualize it:
https://www.mapbox.com/studio/tilesets/planemad.a5gilqlq/

Made a quick map here:
https://api.mapbox.com/styles/v1/planemad/cjaxtyftx536p2soarqvjgvje.html?fresh=true&title=true&access_token=pk.eyJ1IjoicGxhbmVtYWQiLCJhIjoiemdYSVVLRSJ9.g3lbg_eN0kztmsfIPxa9MQ

On Fri, Dec 8, 2017 at 5:21 PM, Srinivasan Ramani <[email protected]>
wrote:

> Dear Thej,
>
> Adding to Raphael's email.. for the article, we picked those polling
> booths with urbanity values (null for rural booths), cross tabbed with
> polling booth data for 2014 elections and found out urban-rural
> classification wise vote share information for BJP and Congress... Rest of
> the work was comparing this with 2015 civic polls and the only opinion poll
> currently that gives a rural-urban-region wise breakup.
>
> Best
> Srini
>
> On 8 Dec 2017 3:12 pm, "Raphael Susewind" <[email protected]>
> wrote:
>
>> Dear Thej,
>>
>> there is not much of a howto - I took my polling booth locality
>> shapefiles (https://pub.uni-bielefeld.de/data/2674065) as well as the
>> MODIS data that is available in convenient format from Naturalearth
>> (https://pub.uni-bielefeld.de/data/2674065), put both into QGIS, and
>> used their 'Join attributes by location' function. That's that. A
>> somewhat more involved processing chain underpins the polling booth
>> shapefile as such - all described in the link above...
>>
>> Srini could probably chip in with more detail on how he ran the analysis
>> per se?
>>
>> Hope that helps,
>> Raphael
>>
>> On 12/08/2017 07:30 AM, Thejesh GN wrote:
>> >
>> >
>> > 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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