Dear *S*usewind R, Great work! I really appreciate the above analysis and come out wonderful results.
Accuracy doesn’t matter, but I am interesting to know about the algorithms and process for whole study and how that this analysis found the vote rate distribution in among the polling booths. Can you please help me out to analysis and share the algorithms for the same. I have download all the shape file of Gujrat’s constituencies and booth locations. Thank you so much kind sharing. Best Regards Noor Hasan GIS Analyst. On 8 December 2017 at 15:12, 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 > > > > -- > > Datameet is a community of Data Science enthusiasts in India. Know more > > about us by visiting http://datameet.org > > --- > > You received this message because you are subscribed to the Google > > Groups "datameet" group. > > To unsubscribe from this group and stop receiving emails from it, send > > an email to [email protected] > > <mailto:[email protected]>. > > For more options, visit https://groups.google.com/d/optout. > > -- > Datameet is a community of Data Science enthusiasts in India. Know more > about us by visiting http://datameet.org > --- > You received this message because you are subscribed to the Google Groups > "datameet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
