<https://lh5.googleusercontent.com/-R0Y80NzLfCo/U-GuxQ7iCwI/AAAAAAAAAKA/gdN3wX4skFk/s1600/bihar_sample.jpg> see the Bihar data compared to this:Red=Bihar Black=this dataset
On Wednesday, August 6, 2014 12:21:27 AM UTC-4, Justin Meyers wrote: > > Devdatta, > This is raw data that I converted from kml to shp. So it took me about 30 > minutes to make sure the attributes came through properly. Cannot say my > source until I download the rest of the content from the site, before they > take it down. It seems like they put data on the internet, then try to > take it down (or hide it...). Not really sure why? I posted the Orissa > sample for you some time ago, but you never responded? I found official > data for Orissa as well, so converting the census pdfs to gis is a big > waste of time (took me a few days...). > > As per the quality of this dataset, it is the best I have seen on a > national level. But if you look state by state, or really want quality > data, then this isn't what you want. I would call this dataset a rough > start. > > I posted a update about Bihar ( > https://groups.google.com/forum/#!topic/datameet/QuP4Tt4n0_g) and that > data is amazing, this data doesn't hold a candle to it. Too bad the > government doesn't want help from the experts ;) > > Cheers, > Justin > > > > On Wednesday, August 6, 2014 12:02:57 AM UTC-4, Devdatta Tengshe wrote: >> >> Hi Justin, >> >> Firstly let me congratulate you on doing this. I'm sure that this must >> have involved a lot of sweat, blood and tears (Working with government >> data, usually involves the last one). This is the most up-to-date, >> comprehensive & complete dataset for sub districts that I have seen. >> >> Could you tell us what was the source for creating these boundaries? >> >> I'll cross check it with other datasets, and let you know how it goes. >> >> Regards, >> Devdatta >> >> >> >> On Wed, Aug 6, 2014 at 8:06 AM, Justin Meyers <[email protected]> >> wrote: >> >>> >>> <https://lh5.googleusercontent.com/-JCJJdFxwIJ4/U-GSaLtnplI/AAAAAAAAAJw/3nhGoIFzCNE/s1600/indiatahsil2001.jpg> >>> >>> https://app.box.com/s/vljeiolbqhx2hwyz8qxs >>> >>> Processed from a kml; did not edit any geometry or attributes. Data is >>> pretty generalized, but it is a good start for a national dataset. I keep >>> finding better data as I continue to look (already posted two previous >>> versions of a taluk/ tahsil/ amin 3 boundary). After concerns to missing >>> data, this is the best to date I have found. >>> >>> Cheers! >>> Justin >>> >>> -- >>> 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 [email protected]. >>> For more options, visit https://groups.google.com/d/optout. >>> >> >> -- 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 [email protected]. For more options, visit https://groups.google.com/d/optout.
