Re: [datameet] Re: Identifying urban agglomeration boundaries

2020-10-16 Thread aditya medury 
Thank you, Siddhant and Deepak! I shall check this source out.

Best,

Aditya


On Thu, Oct 15, 2020 at 10:49 PM Deepak Sharda  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
> 
>
> On Thu, Oct 15, 2020 at 8:52 PM Siddhant N  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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>> 
>> .
>>
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> .
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Re: [datameet] Re: Identifying urban agglomeration boundaries

2020-10-15 Thread Deepak Sharda 
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


On Thu, Oct 15, 2020 at 8:52 PM Siddhant N  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
> ---
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> 
> .
>

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[datameet] Re: Identifying urban agglomeration boundaries

2020-10-15 Thread Siddhant N 
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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