I have scraped the data, and uploaded it here: https://github.com/devdattaT/mah_election_data
Regards, Devdatta On Tue, Mar 26, 2019 at 5:39 PM rigved shenai <rigved12she...@gmail.com> 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 datameet+unsubscr...@googlegroups.com. > 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 datameet+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
