On Tue, Mar 26, 2019 at 6:48 PM Devdatta Tengshe <[email protected]> wrote:
> I have scraped the data, and uploaded it here: > > https://github.com/devdattaT/mah_election_data > > > Thanks Devdatta. Few other states also have detailed shapes available on their GIS servers that is downloadable. Since license is never mentioned, can we take it that the work by default falls under GODL <https://commons.wikimedia.org/wiki/Template:GODL-India> and start uploading it on /datameet? > > Regards, > Devdatta > > > On Tue, Mar 26, 2019 at 5:39 PM rigved shenai <[email protected]> > wrote: > >> Constituency boundaries are shown differently in multiple sources. The >> Datameet dataset is good for Rural constituencies, but not accurate in case >> of Urban areas. >> I had inquired for those datasets to MapMyIndia but the cost they quoted >> was exorbitant. and accuracy was not too good either. Maharashtra >> boundaries are shown here in MSRAC portal(Choose "Electoral" in base layer >> and zoom in) >> http://mrsac.maharashtra.gov.in/geoportal/ >> If someone is successful in extracting the shapefiles from this, Please >> let me know. >> If anyone wants to collaborate on data viasualization project on Indian >> Elections, Feel free to connect. >> - Rigved Shenai >> 9594747357 >> >> On Saturday, March 16, 2019 at 12:06:51 AM UTC+5:30, Arun Ganesh wrote: >>> >>> With the upcoming elections, this would be a hot dataset that everyone >>> will be looking for. The best available dataset on the web right now is on >>> the datameet repository >>> <https://github.com/datameet/maps/tree/master/parliamentary-constituencies> >>> updated during the previous elections in 2014. >>> >>> Does anyone know if there have been changes in the constituency >>> boundaries since 2014? Also the existing boundaries are fairly generalized >>> resulting in an accuracy of around a km. >>> >>> See this comparison for Bengaluru: 1) PC shapes from datameet 2) AC >>> shapes from datameet 3) PC shapes from Karnataka KSRAC >>> [image: new1.gif] >>> >>> The KSRAC boundaries was queried from their geoserver >>> <https://stg1.ksrsac.in/maps/rest/services/Polling/Polling_PC/MapServer/0/query?where=OBJECTID+is+not+null&text=&objectIds=&time=&geometry=&geometryType=esriGeometryEnvelope&inSR=&spatialRel=esriSpatialRelIntersects&relationParam=&outFields=&returnGeometry=true&returnTrueCurves=false&maxAllowableOffset=&geometryPrecision=&outSR=4326&returnIdsOnly=false&returnCountOnly=false&orderByFields=&groupByFieldsForStatistics=&outStatistics=&returnZ=false&returnM=false&gdbVersion=&returnDistinctValues=false&resultOffset=&resultRecordCount=&f=geojson> >>> and >>> are super accurate upto the street level, but is limited to only Karnataka. >>> Does anyone know how we can source this for the entire country? >>> >> -- >> 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. > -- 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.
