Hey Vaishnavi, That looks interesting. I've scraped the boundaries for the 6 cities, and put them here: https://github.com/datameet/PincodeBoundary
At first glance, there are some oddities in the data, so I'll suggest that you cross check before using them. Regards, Devdatta On Wed, Mar 8, 2017 at 12:52 PM, Vaishnavi Jayakumar (Inclusive India) < [email protected]> wrote: > Reminder in case anyone has inputs on this a year later - the geo-entities > standard bit. > > ALSO - what is the latest feedback on postal GIS? Any feedback I could > pass on? In July 2016 it was still work in progress. > > http://postoffice.umd.nic.in:8080/nicutility/# > FYI > > *#Pincode* > > I had spoken a week back to a friend from the Indian Postal service > regarding pincode layers, here's what she replied : > > "We do not have an official map yet. Currently am working in geotagging > all our post offices with delivery boundaries. We have geotagged 150000 > post offices. Drawing pincode boundaries with ISRO. Hope to provide public > access in 4-5 months." > > So will check with her again in August. > > *#Geocodes #GLC* > > On a related matter, I was wondering what the group's knowledge is on > standardised codes for government properties. To explain - in the last > couple of months I have been struggling with poorly specified addresses > provided by Government authorities for purposes as diverse as Chennai rain > shelter locations to assembly election polling booths. If the rain shelter > information provided was maddeningly obfuscatory, the polling booth entries > were uniquely different for the SAME polling station location. Extensive > manual cleanup by volunteers had to happen before it could even be > processed by the polling booth access audit app. > > My question is this : > > Surely as part of data.gov.in an initiative that standardises data > collection codes across departments and ministries can be developed which > will save everyone a lot of time and effort? So while the thrust would be > on ALL government buildings initially - layers like schools, parks, > post-office, revenue office, ration shop etc should be available on a drill > down basis. > > So if one needs to reference a particular postoffice in rural Tamil Nadu - > a code comprising standard census state, district downwards code + rural / > urban indicator + administrative allotment (political, centre vs state cs > Municipal vs panchayat) + purpose > <https://www.doi.gov/sites/doi.gov/files/migrated/pam/programs/property_management/upload/GSArealguidance.pdf> > indicator + building particulars (toilet availability, parking facility > etc) > > Something open and internationally standard on these lines with scope for > evolution and addiition is what I'm imagining - > http://vcgi.vermont.gov/sites/vcgi/files/standards/partii_section_j.pdf - > does anything like this exist? Is it on the cards? What IS the > international open standard adopted across governments? > > Looking forward to the group's thoughts / knowledge in this respect. > > Vaishnavi > > > > > > --------------------------------------- > *VAISHNAVI JAYAKUMAR* > http://about.me/vjayakumar > > On Mon, Mar 28, 2016 at 11:20 AM, Raphael Susewind < > [email protected]> 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 < >> [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/0B1RcWLku0ZOWWVBHMldrZWdfZ >> EU/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 <[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/do >> c/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:[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. >> > >> > >> > -- >> > 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. 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