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

2015-12-01 Thread Nikhil VJ 
When OSM was starting up and android phones with onboard GPS weren't yet
commonplace, I saw OSM enthusiasts like the folks at Homi Bhabha Centre for
Science using GPS devices to record the trace on their journey and then
transferring the trace to computer and uploading the trace to OSM.

Now when GPS devices are commonplace and every other person is a potential
contributor, I'm not sure there's that much enthusiasm to trace the roads
and upload them to OSM. I agree with not wanting to re-invent the wheel,
but depending only on top-down sources (which btw would even have the roads
in remote areas that exist only on paper or are in disrepair) and not
putting any energy into nurturing bottom-up ways might not be a good idea.

So how about going interdisciplinary with this: Popularize the apps that
make it easy for regular people to contribute.

Orgs taking this up as a project can get interns to go on field and cover
all the roads in a dark (on OSM ie) area.
A cycling championship could be done where the prize goes to the contestant
who covered the most amount of yet-unmarked kms of roads in a given
timeframe. Cycling enthusiast groups can find unmapped areas to decide the
next expedition and cover them.

So working on making the contributing of GPS traces and such data to OSM
easier for regular people might also be a good long term strategy for
increasing the coverage.

--
Cheers,
Nikhil
+91-966-583-1250
Pune, India
Self-designed learner at Swaraj University 
http://nikhilsheth.blogspot.in





On Wed, Nov 25, 2015 at 10:48 PM, Justin Meyers <
justinelliotmey...@gmail.com> wrote:

> 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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[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
>> --- 
>> You received this message because you are subscribed to the Google Groups 
>> "datameet" group.
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>>
>
>

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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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us by visiting http://datameet.org
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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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