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" <devda...@tengshe.in> 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) < > vaishnavi.jayaku...@inclusiveindia.info> 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 < >> li...@raphael-susewind.de> 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.kod...@gmail.com >>> > <mailto:iota.kod...@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 <arungra...@gmail.com >>> > <mailto:arungra...@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/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 datameet+unsubscr...@googlegroups.com >>> > <mailto:datameet+unsubscr...@googlegroups.com>. >>> > 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 datameet+unsubscr...@googlegroups.com >>> > <mailto:datameet+unsubscr...@googlegroups.com>. >>> > 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 datameet+unsubscr...@googlegroups.com >>> > <mailto:datameet+unsubscr...@googlegroups.com>. >>> > 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 datameet+unsubscr...@googlegroups.com. >>> 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 datameet+unsubscr...@googlegroups.com. >> 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 datameet+unsubscr...@googlegroups.com. > 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 datameet+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
