Hi Devdatta, What is the data that you are looking for. I had saved it. But it is huge. About 1.55 GB consisting of about 135 shapefiles out of which 70 are raw booths.
On Saturday, April 2, 2016 at 12:32:47 PM UTC+5:30, Devdatta Tengshe wrote: > > Hi Raphael, > > Firstly, thanks a lot for extracting this information. > > I was looking at http://dx.doi.org/10.4119/unibi/2674065, but I could > find only the Boundaries for the constituencies. > > Can you tell us where we can find the locations of the polling booths that > you had extracted? > > Secondly, can you also share (if you still have them) the heatmaps code > that you used to create the constituency boundaries? I think that is what > will be required to create the pincode boundaries as well. > > Regards, > Dev > > Regards, > Devdatta > > On Fri, Apr 1, 2016 at 6:31 PM, Raphael Susewind < > li...@raphael-susewind.de <javascript:>> wrote: > >> Dear all, >> >> following up on my earlier email, I just pushed a list of pincodes for >> all electoral booths across India to GitHub and made a pull request to >> the datameet repository: >> >> https://github.com/datameet/pincodes/pull/2 >> >> Please note that this can be incomplete, and is based on a rather >> brutish, quick and dirty hack - see comments in rolls2pincode.pl. But it >> does use the same IDs as those in the 2014 elections, and hence can be >> combined with my GIS shapefiles for polling booths: >> >> http://dx.doi.org/10.4119/unibi/2674065 >> >> I leave it to others to double-check accuracy and create actual pincode >> maps. I hope this is useful, >> >> Best, >> Raphael >> >> On 28.03.2016 07:50, Raphael Susewind wrote: >> >> > Dear Avinash and all, >> > >> > I will try to make some time this week to scrape the pincodes from >> > electoral rolls for all polling booths in my electoral GIS shapefiles. >> > >> > Since pincode is in latin script, this should not be affected by the >> > much discussed PDF scraping issues with electoral rolls. >> > >> > We could then either go down the voronoi route, or alternatively use the >> > heatmap processing chain that I used to generate AC boundaries - this >> > latter would have the advantage of dealing with wrong coordinates in the >> > booth point dataset (basically, not all electoral booth coordinates are >> > correct; consequently, if we only voronoi, we would have a blip of >> > pincode B within a see of pincode A quite frequently. The heatmap stuff >> > takes care of this). >> > >> > Since I am not familiar with postal boundaries: can anyone here confirm >> > whether pincode areas are contiguous, and whether each pincode has only >> > one area? Or can it be that several non-contiguous areas have the same >> > pincodem intersparsed with other pincodes? (In which case voronoi would >> > perhaps be the better solution at last) >> > >> > In any case, I hope to give you the pincode for each polling booth by >> > end of the week or so (based on all-India 2014 electoral rolls), >> > >> > Best, >> > Raphael >> > >> > On 28.03.2016 06:33, Avinash Celestine wrote: >> > >> >> perhaps one way is to avoid using postal data altogether. >> >> >> >> All header pages in electoral rolls(the first page) contain the name of >> >> the polling station related to that roll, the PS number, and >> importantly >> >> the pin code. >> >> >> >> A site like psleci.nic.in <http://psleci.nic.in> has geog coordinates >> >> of polling stations (though Raphael had collected the data earlier*). >> >> Matching the two will give a fairly dense scattering of points - in >> >> fact much more dense than if we used some of the methods earlier in >> this >> >> thread. >> >> >> >> We thus have a way of associating a pin code with a geo coordinate. We >> >> can then use the voronoi method. >> >> >> >> Electoral rolls are mostly in pdf which make them difficult to scrape. >> >> But from what i have seen, for any given state, the location on the >> >> header page, of the pincode number is more or less constant, making it >> >> possible to target just that part of the page with any pdf parser. >> >> >> >> Electoral rolls have become difficult to download in bulk( a good >> >> thing!) but i understand different people on this group have the pdfs >> >> for different states. Putting this stuff together should give us >> >> comprehensive data on header pages for atleast some states. >> >> Alternatively, we can file RTIs for just the header pages of electoral >> >> rolls, though i dont know how successful that would be. >> >> >> >> * Raphael's data is >> >> at https://github.com/raphael-susewind/india-election-data >> >> >> >> >> >> >> >> On Sun, Mar 27, 2016 at 12:07 PM, srinivas kodali <iota....@gmail.com >> <javascript:> >> >> <mailto:iota....@gmail.com <javascript:>>> wrote: >> >> >> >> Well, There were postal delivery zones in the past and the postal >> >> department even used to make maps of these zones. The Delhi postal >> >> delivery zone map >> >> < >> https://drive.google.com/file/d/0B1RcWLku0ZOWWVBHMldrZWdfZEU/view?usp=sharing> >> >> had >> >> boundaries for delhi. I am not sure if other cities had them or how >> >> long the postal department was doing this, but it certainly can >> help >> >> with the boundaries for cities. >> >> >> >> Regards, >> >> Srinivas Kodali >> >> www.lostprogrammer.com <http://www.lostprogrammer.com> >> >> /"Not everyone who wanders is lost, I am probably a bit"/ >> >> >> >> On Tue, Mar 22, 2016 at 9:29 PM, Arun Ganesh <arung...@gmail.com >> <javascript:> >> >> <mailto:arung...@gmail.com <javascript:>>> wrote: >> >> >> >> Shravan, crowdsourcing the boundaries of pincodes is not as >> >> trivial as you think. To start with, an area does not fall >> under >> >> a pincode, rather a street does based on the post office that >> >> services it. Read >> >> this: >> http://www.georeference.org/doc/zip_codes_are_not_areas.htm >> >> >> >> You may also want to do some background reading of existing >> >> research that has been done by the group >> >> here: https://datameet.hackpad.com/M4hPFJVV2Gm?eid=v4YoXN4tTw5 >> >> >> >> To sum up, nobody has precise pincode boundaries like how you >> >> imagine them, not even the postal department. Any existing >> >> datasets are an estimate at best using some data processing on >> a >> >> large volume of address data. >> >> >> >> -- >> >> 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 datameet+u...@googlegroups.com >> <javascript:> >> >> <mailto:datameet+u...@googlegroups.com <javascript:>>. >> >> 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 datameet+u...@googlegroups.com <javascript:> >> >> <mailto:datameet+u...@googlegroups.com <javascript:>>. >> >> 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 datameet+u...@googlegroups.com <javascript:> >> >> <mailto:datameet+u...@googlegroups.com <javascript:>>. >> >> For more options, visit https://groups.google.com/d/optout. >> > >> >> -- >> Dr Raphael Susewind | Associate, Contemporary South Asia Studies, Oxford >> Snail Mail | Melanchthonstr. 4a, 33615 Bielefeld, Germany >> Web & Twitter | https://www.raphael-susewind.de | @RaphaelSusewind >> Impact | https://impactstory.org/raphael-susewind >> >> Please consider https://www.gnupg.org for encryption (key id 10AEE42F) >> >> >> -- >> Datameet is a community of Data Science enthusiasts in India. 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