[datameet] Re: Improving India road data on OpenStreetMap

2015-11-25 Thread 'Guneet Narula' via datameet
Definitely a theme for the next GeoDEL mapping party.

On Tuesday, November 24, 2015 at 4:15:59 PM UTC+5:30, Arun Ganesh wrote:
>
> India has one of the lowest road coverage in OSM according to the recent 
> data metrics report: https://www.mapbox.com/data-platform/country/#india 
> . We have currently mapped only 21% of the official reported length.
>
> Any ideas on how to improve the coverage of roads? Is there any sources of 
> high quality road data/shapefiles that is open and could be imported into 
> OSM?
>
> -- 
> Arun Ganesh 
> (planemad) 
> 
>

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Re: [datameet] Re: Improving India road data on OpenStreetMap

2015-11-25 Thread Justin Meyers
Sarath,
I believe the data you posted is actually historical OSM data! When osm 
first came out, several websites hosted it and split it up based on 
country.  I haven't looked at this data in a few years, but believe it is 
very very old OSM data.

Cheers,
Justin

On Wednesday, November 25, 2015 at 11:08:18 AM UTC-5, Sarath Guttikunda 
wrote:
>
> Here is another open resource
>
> http://www.mapcruzin.com/free-india-country-city-place-gis-shapefiles.htm
>
> With regards,
> Sarath
>
> --
> *Dr. Sarath Guttikunda*
> *http://www.urbanemissions.info *
>
> On Tue, Nov 24, 2015 at 11:47 PM, Arun Ganesh  > wrote:
>
>> Justin, absolutely right that data imports create huge issues. Even the 
>> latest TIGER data for the US has flaws and is a reminder of the dangers of 
>> trusting any data source blindly.
>>
>> I just checked the Bhandara sample overlayed with OSM and satellite 
>> imagery and its clearly not as accurate as the existing OSM roads. Many of 
>> the village roads seem completely off from where they should be.
>>
>> https://cloud.githubusercontent.com/assets/126868/11376252/a9180be0-9305-11e5-8978-48360238ff2e.png
>>  
>> (red=sample, white=OSM)
>>
>> This is not very useful to import, but could be a useful reference layer 
>> to find missing roads and add road classifications and names. You think 
>> this would be ok?
>>
>> Also if its ok, I can share the interactive visualization on the list.
>>
>> -- 
>> Arun Ganesh 
>> (planemad) 
>> 
>>
>> -- 
>> 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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Re: [datameet] Re: Census of India seems to have maps of everything!

2015-11-25 Thread Sharad Lele [शरच्चंद्र लेले]

Thanks, Vinoth.

Do keep up posted on what happens!

Will circulate information about your startup, which sounds interesting!

Sharad

On 25-11-2015 16:11, Vinoth R wrote:
Not  sure if anyone has filed RTI. I filed an RTI with census 
department today.


Between my startup helps citizens to file RTI application 
(onlinerti.com ). If you guys have any more RTI 
request send it to me.

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[datameet] Re: Improving India road data on OpenStreetMap

2015-11-25 Thread Justin Meyers
That example was for Maharashtra

On Wednesday, November 25, 2015 at 12:17:56 PM UTC-5, Justin Meyers wrote:
>
> Here is a extract of OSM road features vs Govt data.
> osm - 99,002,845 meters
> govt - 243,678,394 meters
>
>
>
> On Tuesday, November 24, 2015 at 5:45:59 AM UTC-5, Arun Ganesh wrote:
>>
>> India has one of the lowest road coverage in OSM according to the recent 
>> data metrics report: https://www.mapbox.com/data-platform/country/#india 
>> . We have currently mapped only 21% of the official reported length.
>>
>> Any ideas on how to improve the coverage of roads? Is there any sources 
>> of high quality road data/shapefiles that is open and could be imported 
>> into OSM?
>>
>> -- 
>> Arun Ganesh 
>> (planemad) 
>> 
>>
>

-- 
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Re: [datameet] Re: Improving India road data on OpenStreetMap

2015-11-25 Thread Sarath Guttikunda
Here is another open resource

http://www.mapcruzin.com/free-india-country-city-place-gis-shapefiles.htm

With regards,
Sarath

--
*Dr. Sarath Guttikunda*
*http://www.urbanemissions.info *

On Tue, Nov 24, 2015 at 11:47 PM, Arun Ganesh 
wrote:

> Justin, absolutely right that data imports create huge issues. Even the
> latest TIGER data for the US has flaws and is a reminder of the dangers of
> trusting any data source blindly.
>
> I just checked the Bhandara sample overlayed with OSM and satellite
> imagery and its clearly not as accurate as the existing OSM roads. Many of
> the village roads seem completely off from where they should be.
>
> https://cloud.githubusercontent.com/assets/126868/11376252/a9180be0-9305-11e5-8978-48360238ff2e.png
> (red=sample, white=OSM)
>
> This is not very useful to import, but could be a useful reference layer
> to find missing roads and add road classifications and names. You think
> this would be ok?
>
> Also if its ok, I can share the interactive visualization on the list.
>
> --
> Arun Ganesh
> (planemad) 
> 
>
> --
> 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 datameet+unsubscr...@googlegroups.com.
> For more options, visit https://groups.google.com/d/optout.
>

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[datameet] how can free download village wise .shp file

2015-11-25 Thread Saumitra Singh
how can free download village wise .shp file

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