Fantastic! Thanks so much! On Tuesday, October 26, 2021 at 1:00:47 PM UTC-4 nikh...@gmail.com wrote:
> Hi David, > > This is in response to your second question about the projection the > shapes are in. > This might help to find out: http://projfinder.com/ > Have to start with identifying a spot in the shapefile that you can > recognise and locate on a real map. Center the map in the website there, > and key in the co-ords for that spot in the shapefile. The website then > gives you a listing of most likely projections. > > We used that tool here: > https://github.com/draftmpd41/layers_draft_delhi_master_plan_2041 > > -- > Cheers, > Nikhil VJ > https://nikhilvj.co.in > > > On Tue, Oct 26, 2021 at 1:09 AM David Sorge <wor...@gmail.com> wrote: > >> Thanks so much for sharing this! Three quick questions: >> >> 1) Do you have the link within the ECI website? >> I'd love to be able to link back to it, check for additional metadata, >> etc. Unfortunately, ECI is a pretty difficult website to navigate (for me >> at least -- maybe I just need to learn how to use it better.) >> >> 2) Do you know what projection the files are in? >> I'd like to transform it so it fits with data in a Kalianpur 1975/India >> Zone IIa Projection, but to get it there, I need to figure out what >> projection the data starts in. Were there any clues about this on the site >> where the files originated? >> >> 3) Is there a well-known fix for the Uttarakhand issue? >> I was able to do a quick and imprecise fix in python using geopandas and >> shapely: >> >> ``` >> import pandas as pd >> import geopandas as gpd >> from shapely.affinity import translate >> >> AC_path = Path('geocoding/AC_Data/States') >> gdfs = [] >> for file in AC_path.glob('*/*.shp'): >> gdf = gpd.read_file(file) >> gdfs.append(gdf) >> >> AC_data = pd.concat(gdfs) >> mask = AC_data.ST_CODE == 'S28' >> >> AC_data.loc[mask, 'geometry'] = \ >> AC_data[AC_data.ST_CODE == 'S28'].geometry \ >> .apply(lambda geom: >> translate(geom, xoff=-14.3468, yoff=0.1394)) >> ``` >> >> However, this results in only an approximate fix, with some boundary >> problems as shown in the plot here. The fact that Uttarkhand looks just a >> bit small for the space probably has to do with issues with the projection. >> >> >> >> This fix will work well enough for my purposes, I think, but I'd be >> interested to know about another solution if one exists. >> >> Thanks so much! >> >> David >> >> >> On Friday, October 30, 2015 at 2:47:20 AM UTC-4 cadv wrote: >> The predetermination data was available fro download from the Election >> commission website itself. >> I had kept it safely. >> >> Here it is. There is a known problem about the placement of Uttarakhand >> in one of the sets. >> >> >> On Wednesday, October 28, 2015 at 11:43:58 AM UTC+5:30, Chandrashekhar >> Raman wrote: >> does anyone have access to pre-delimitation assembly constituency >> shapefiles of Bihar.. i.e 2005 backwards. much appreciate if can be shared. >> >> thanks >> cs >> >> >> On Friday, October 30, 2015 at 2:47:20 AM UTC-4 cadv...@gmail.com wrote: >> >>> The predetermination data was available fro download from the Election >>> commission website itself. >>> I had kept it safely. >>> >>> Here it is. There is a known problem about the placement of Uttarakhand >>> in one of the sets. >>> >>> >>> On Wednesday, October 28, 2015 at 11:43:58 AM UTC+5:30, Chandrashekhar >>> Raman wrote: >>>> >>>> does anyone have access to pre-delimitation assembly constituency >>>> shapefiles of Bihar.. i.e 2005 backwards. much appreciate if can be shared. >>>> >>>> thanks >>>> cs >>>> >>> -- >> > 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+u...@googlegroups.com. >> > To view this discussion on the web visit >> https://groups.google.com/d/msgid/datameet/ab6e8db6-2c9f-43ab-a83f-583c820eb983n%40googlegroups.com >> >> <https://groups.google.com/d/msgid/datameet/ab6e8db6-2c9f-43ab-a83f-583c820eb983n%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> > -- 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. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/e9f1ce01-80c6-40ec-a0fd-8a648853df44n%40googlegroups.com.
