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.
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>>>> --
>>>> Dr Raphael Susewind | Associate, Contemporary South Asia Studies, Oxford
>>>>          Snail Mail | Melanchthonstr. 4a, 33615 Bielefeld, Germany
>>>>       Web & Twitter | https://www.raphael-susewind.de | 
>>>> @RaphaelSusewind
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>>>>
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>>>>
>>>>
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>>>
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>>
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