Dear Justin:

I beg to disagree. For Karnataka, which I know best, GADM has 176 features. Census 2001 shows 175 talukas. Census 2011 has 176 unique taluka codes.

Second, boundaries in Karnataka of GADM are okay: i am comparing them with taluka boundaries I have digitzed from Census handbook itself.

Sharad

On 06-Aug-14 11:42 PM, Justin Meyers wrote:
Sharad,

<https://lh5.googleusercontent.com/-45mYgnZbcC0/U-Ju6KmGRCI/AAAAAAAAAKQ/FNF491-pg_0/s1600/gadm.jpg>

GADM is junk. The person who created it doesn't respond to e-mails. I reached out to him (Dr. Robert Hijmans) a few years back and he was useless. Currently GADM has 2299 coundaries. See a pic of the two layers compared (GADM is Green, this dataset is red)


Justin


On Wednesday, August 6, 2014 1:58:20 PM UTC-4, Sharad Lele wrote:

    How does this compare with the maps from the GADM database?

    My notes say GADM database maps (India state, district and taluka)
    show district boundaries of 2001 or earlier, with spatial
    positioning error of about 1km, and much more generalized than the
    boundaries shown on Survey of India toposheets. (goes without
    saying since the topos are at much finer scale than such maps)

    Sharad

    On Wednesday, August 6, 2014 10:49:42 AM UTC+5:30, Dilip Damle wrote:

        Justin, Devdatta,

        It's all about how things work in India,

        Devdatta mentioned SWEat,blood and teARS

        It also includes the capitalised word :)

        Good to persevere though.
        Congratulatioins.

        Rgds
        Dilip Damle




        On Wednesday, August 6, 2014 9:59:13 AM UTC+5:30, Justin
        Meyers wrote:

            
<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
                
<https://groups.google.com/forum/#%21topic/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
                        <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
                        <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 a topic in the Google Groups "datameet" group. To unsubscribe from this topic, visit https://groups.google.com/d/topic/datameet/GJKMXXSB-Ns/unsubscribe. To unsubscribe from this group and all its topics, send an email to [email protected] <mailto:[email protected]>.
For more options, visit https://groups.google.com/d/optout.

--
Democratizing Forest Governance in India
(In press with Oxford University Press India)

--
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.

Reply via email to