Dear Raphael, I understand that you have looked at Polling booth data. I am interested in accessing the polling booth addresses for Karnataka state. Could you please tell me if I can get that in the excel format ?
I have been able to access the polling booth names by clicking on each MLA Constituency in each district at http://ceokarnataka.kar.nic.in/FinalRoll-2017/Dist_List.aspx. However, we have to click open pdfs at each of the polling booth names to get the pin code. Any help with this would be useful. regards, Veena On 2 April 2016 at 13:08, Raphael Susewind <[email protected]> wrote: > Hi Dev, > > there are state/state.boothraw.* shapefiles, these should contain the > raw polling booth locations. > > Heatmap scripts are terribly customized - I would have to look into this > myself, I am afraid, which could take some time (very busy).... > > You would have to go with voronois for now, sorry, > > Best, > Raphael > > On 02.04.2016 09:02, 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 > > <[email protected] <mailto:[email protected]>> 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 > > <http://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> > > <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 > > <[email protected] <mailto:[email protected]> > > >> <mailto:[email protected] <mailto:[email protected]>>> > 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/0B1RcWLku0ZOWWVBHMldrZWdfZE > U/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> > > <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 > > <[email protected] <mailto:[email protected]> > > >> <mailto:[email protected] <mailto:[email protected]>>> > > 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 > > [email protected] > > <mailto:datameet%[email protected]> > > >> <mailto:[email protected] > > <mailto:datameet%[email protected]>>. > > >> For more options, visit https://groups.google.com/d/op > tout. > > >> > > >> > > >> -- > > >> 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:datameet%[email protected]> > > >> <mailto:[email protected] > > <mailto:datameet%[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] > > <mailto:datameet%[email protected]> > > >> <mailto:[email protected] > > <mailto:datameet%[email protected]>>. > > >> 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. 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:datameet%[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] > > <mailto:[email protected]>. > > 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. 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. > -- Veena Ramanna Executive Director IndiaGoverns Research Institute, Bengaluru, INDIA http://www.indiagoverns.org -- 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.
