Thank you, Siddhant and Deepak! I shall check this source out. Best,
Aditya On Thu, Oct 15, 2020 at 10:49 PM Deepak Sharda <[email protected]> wrote: > thanks it helped a lot. Although it does not cover complete area. I am > attaching Geo Package file here > GHS_STAT_UCDB2015MT_GLOBE_R2019A.zip > <https://drive.google.com/file/d/1qgyBht3KOBA593uFHe2fcSTOX5z7R36c/view?usp=drive_web> > > On Thu, Oct 15, 2020 at 8:52 PM Siddhant N <[email protected]> wrote: > >> Have you seen GHSL? https://ghsl.jrc.ec.europa.eu/data.php >> They have a robust methodology for UA identification across the globe inc >> India. Their India UA data is not perfect but beats most other public >> datasets. >> >> On Wednesday, 14 October 2020 at 19:47:27 UTC+5:30 Aditya Medury wrote: >> >>> Hi, >>> >>> I am trying make sense of how to translate the definitions of urban >>> agglomerations/million-plus cities in the 2011 census. Census defines urban >>> agglomeration as follows: >>> >>> *An urban agglomeration is a continuous urban spread constituting a town >>> and its adjoining outgrowths (OGs), or two or more physically contiguous >>> towns together with or without outgrowths of such towns. An Urban >>> Agglomeration must consist of at least a statutory town and its total >>> population (i.e. all the constituents put together) should not be less than >>> 20,000 as per the 2001 Census. In varying local conditions, there were >>> similar other combinations which have been treated as urban agglomerations >>> satisfying the basic condition of contiguity. Examples: Greater Mumbai UA, >>> Delhi UA, etc.* >>> *Source: * >>> https://censusindia.gov.in/2011-prov-results/paper2/data_files/India2/1.%20Data%20Highlight.pdf >>> >>> Since they can be a combination of multiple towns/cities, outgrowths, >>> municipal corporations, identifying their sociodemographic and built >>> environment characteristics from other databases becomes a little >>> challenging. For instance, the breakdown of all UAs with more than 1 lakh >>> population is specified here: >>> >>> https://censusindia.gov.in/2011-prov-results/paper2/data_files/India2/Table_4_PR_UAs_1Lakh_and_Above_Appendix.pdf >>> >>> I can think of a few different ways in which I may be able to >>> approximate some boundaries associated with these UAs: >>> >>> - I could use the ADM3 shapefiles of sub-districts ( >>> https://earthworks.stanford.edu/catalog/stanford-rj389fh4679) and >>> picking locations based on visual inspections/overlap of city points. I >>> understand that municipal boundaries may or may not always match the >>> administrative divisions (not very clear on this) >>> - I could also base it off of pincode layers ( >>> https://github.com/justinelliotmeyers/INDIA_PINCODES) which might be >>> more fine-grained if I need additional flexibility in selecting small >>> regions at the periphery. >>> - I could go the population grid route and do some clustering to >>> find regions that might approximate the UA populations provided in the >>> 2011 >>> census for some of the bigger cities. But this would get really crude >>> with >>> no unique boundary solutions. >>> >>> Wondering if people have any thoughts on this. >>> >>> Thanks! >>> >>> Aditya >>> >> -- >> 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]. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/datameet/31c8b0d0-0bbf-4f5b-ba12-5e934e7b7d84n%40googlegroups.com >> <https://groups.google.com/d/msgid/datameet/31c8b0d0-0bbf-4f5b-ba12-5e934e7b7d84n%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> > -- > 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]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/datameet/CA%2B4SsQBqFeu4FsMD_kKS4GCe5rgO-RGX%2Bg%2B6F7ZDwmLbu-tmDg%40mail.gmail.com > <https://groups.google.com/d/msgid/datameet/CA%2B4SsQBqFeu4FsMD_kKS4GCe5rgO-RGX%2Bg%2B6F7ZDwmLbu-tmDg%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > -- 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]. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/CAEVkk7%3DUgvLN%3DLpmF9M5Q706M_6HVyM2vt1qTEr%3DT77n09qBgA%40mail.gmail.com.
