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 <lifefi...@gmail.com> 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
>>
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