Re: [datameet] Identifying urban agglomeration boundaries

[Deepak Sharda]

Hello sir great thinking.

I suggest to do it with LULC data. We have color coded raster data of area
(Red for urbanised or populated area).

we can extract polygon from LULC  data for Boundaries.

regards



On Wed, 14 Oct, 2020, 7:47 pm 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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[datameet] Identifying urban agglomeration boundaries

[Aditya Medury]

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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Re: [datameet] Reg Skype or Groups For Data Journalism & Open Data

[Parvej]

Sir you can download Google Plex Earth High resolution that you can see the
location AutoCAD

On Wed, 14 Oct, 2020, 3:58 am Laxman Bisht,  wrote:

> Dear All,
>
> I hope all is well.
>
> I am looking for high resolution images for the highways of Punjab and
> Yamuna Expressway in UP.I will use those images to identify the changes in
> the road cross sectional elements.
> Please let me know how I can download free high resolution images for my
> study area.
> My contact number is 9650407507.
>
>
> ==
> Best regards,
> Laxman Bisht
> +91 9560 407507
>
> 
>
> Laxman Singh Bisht
>
> PhD Student
>
> Transportation Engineering Group
>
> Department of Civil Engineering
>
> TRIPP
>
> Indian Institute of Technology Delhi (IIT Delhi)
>
> New Delhi 110016, Delhi, India
>
>
>
>
> On Sun, Oct 11, 2020 at 10:44 AM bobqu...@gmail.com 
> wrote:
>
>> Hi All
>>
>> I have been a long time member of datameet, but not an active
>> contributor. I want to learn about Data Journalism and any alternate online
>> community where I can have more frequent conversation on as a newbie data
>> analyst how to analyse open data and use it for some work. Someting like a
>> Slack/telegram group or irc which is more india focussed would help.
>>
>> Regards
>> Priyabrata Dash
>>
>> --
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>> 
>> .
>>
> --
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> 
> .
>

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