Hi Veena

 the gram panchayat names are given in the village census district
handbooks. However, they are also available at lgdirectory.gov.in >>
Download Directory >> gram panchayat mapping to village


Avinash

On Wed, Mar 1, 2017 at 2:46 PM, Veena Ramanna <ve...@indiagoverns.org>
wrote:

> Dear Avinash,
>
> I was looking at the pincodes_censuscodes.zip
> <https://github.com/avinashcelestine/Pincodes-data/blob/master/pincodes_censuscodes.zip>
>  in the github at the location you have specified. This is helpful.
>
> In addition to the pin codes, you have also been able to get gram
> panchayat names. How have you managed that? Could you please tell me.
>
> regards,
> Veena
>
> On 4 April 2016 at 12:44, Avinash Celestine <avinash.celest...@gmail.com>
> wrote:
>
>> Adding some relevant data.
>>
>> The district handbooks released by census provide pincode details for
>> village areas. for each village / location code, they provide the relevant
>> pincode which covers that village. I have collated that data from the
>> handbook files and put them up here:
>>
>> https://github.com/avinashcelestine/pincodes_censuscodes
>>
>> Unfortunately, the district handbooks only provide such pincode data for
>> villages, not towns or wards. And even within villages, a number of
>> locations dont have the relevant pincode info (i think a large part of
>> Madhya Pradesh is blank for instance). Another bunch of villages have
>> pincodes in less than 6 digits. Despite these issues however, there are
>> still 4.13 lakh villages out of a total of 6.4 lakh, for whom six digit
>> pincodes are given.
>>
>> the handbooks are here:
>> http://www.censusindia.gov.in/2011census/dchb/DCHB.html
>>
>> (For the sake of completeness, i have not removed entries for those
>> villages for which pincodes are not given)
>>
>> These will be useful for anyone looking to map census data to pincodes.
>>
>> regards
>>
>> Avinash
>>
>> On Sun, Apr 3, 2016 at 6:47 PM, Dilip Damle <cadvis...@gmail.com> wrote:
>>
>>> 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> 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
>>>>> >> <mailto:iota....@gmail.com>> 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 <
>>>>> arung...@gmail.com
>>>>> >>     <mailto:arung...@gmail.com>> 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/M
>>>>> 4hPFJVV2Gm?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
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>>>>> >>
>>>>> >>
>>>>> >>     --
>>>>> >>     Datameet is a community of Data Science enthusiasts in India.
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>>>>> >>
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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
>>>>>              Impact | https://impactstory.org/raphael-susewind
>>>>>
>>>>> Please consider https://www.gnupg.org for encryption (key id 10AEE42F)
>>>>>
>>>>>
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>>>>
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>
>
>
> --
> Veena Ramanna
> Executive Director
> IndiaGoverns Research Institute,
> Bengaluru,
> INDIA
>
> http://www.indiagoverns.org
>
>

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