Dear Arun

Thanks. [1] is exactly what I need. I didn't even know what to search for.

The code was unnecessary convolutied to post directly. It compares various
sampling methods; I'll post a simplified version along with the results
soon.

Thanks again,
   Dilawar

On Fri, Jun 12, 2020 at 3:02 AM Arun Ganesh <[email protected]> wrote:

> If you share your code it would be easier to understand what exactly you
> need.
>
> My approach for this exercise would be to grab the SRTM dem data[1] and
> clip it to the India borders[2] using GDAL/QGIS.
>
> What you then have is a gridded raster with each pixel representing the
> elevation at that point. It seems like that is all the data you would need
> for your computation right?
>
> [1] http://srtm.csi.cgiar.org/srtmdata/
> [2] https://github.com/datameet/maps/tree/master/Country
>
> On Thu, Jun 11, 2020 at 3:33 PM Dilawar Singh <[email protected]>
> wrote:
>
>> Hi datameet,
>>
>> I was browsing through my old repositories. I once computed the center of
>> mass of the country using available elevation data (data is from here
>> http://www.geonames.org/data-sources.html, this data does not have PoK).
>> The image is attached. The center of mass lies very near to Jhansi without
>> PoK. It is likely to shift to the north after adding PoK since the
>> Himalayas are heavy!
>>
>> I am keen on finishing this exercise with PoK elevation data. Do we have
>> the elevation data of India in datameet repositories? If not, I can prepare
>> such data by appending data from PK elevation data and send it via a PR or
>> hand over the repository itself.
>>
>> cheers,
>> --
>> Dilawar
>> NCBS Bangalore
>>
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-- 
Dilawar
NCBS Bangalore

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