Hi Gaurav, 562112 seems to point to Harohalli which is in Ramanagara district? There is a new pincode map here that has some 562XXX codes that cover the suburbs of Bangalore. Hope this helps. https://data.opencity.in/dataset/pincode-maps-of-cities/resource/pincode-map---bengaluru
Thanks, Vaidya On Wed, Jan 11, 2023 at 1:30 PM [email protected] < [email protected]> wrote: > I was just using the Bengaluru file for pincode visualization. relaised > that new pincodes like 562112 is not available here. > how to add these? > > On Wednesday, 8 March, 2017 at 9:15:58 pm UTC+5:30 Vaishnavi Jayakumar > (Inclusive India) wrote: > >> Thanks Devdatta. If you could point out problematic areas, we could look >> at >> having it fixed. >> On 08-Mar-2017 2:39 pm, "Devdatta Tengshe" <[email protected]> wrote: >> >>> 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/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 <[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:[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. 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. >>>> >>> >>> -- >>> Datameet is a community of Data Science enthusiasts in India. 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