Dear All, I found this ppt on the web which gives in detail what kind of mapping work has been done by the Census of India. this includes all village boundaries and wards within villages and cities, and in select cities, even individual buildings! We must make efforts to get this dataset into the public domain, instead of reinventing the wheel. Does anyone have any more information on this? Sharad
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import geopandas as gpd
import glob
from geopandas import GeoDataFrame
jsn=glob.glob("/home/me/raw-json-102-241/*.json")
#getting the list of json file in the folder
df1=pd.DataFrame()
for js in jsn:
dd = gpd.read_file(js)
dd1=dd[[u'DIST_NAME', 'NAME', 'OBJECTID','STAT_NAME', u'TEHS_NAME', u'geometry']]
df1=df1.append(dd1)
#looping over each json file and opening it with geopandas cool tool read_file(json)
db1 = GeoDataFrame(df1, columns=[u'DIST_NAME', 'NAME', 'OBJECTID','STAT_NAME', u'TEHS_NAME', u'geometry'], index=df1.index)
#organizing the looped shape formats and converting into geodataframe
#now saving the shape file!
db1.to_file('v102-241.shp',driver='ESRI Shapefile')
Not sure if anyone has filed RTI. I filed an RTI with census department today.
Between my startup helps citizens to file RTI application (onlinerti.com). If you guys have any more RTI request send it to me.
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Dear All, I found this ppt on the web which gives in detail what kind of mapping work has been done by the Census of India. this includes all village boundaries and wards within villages and cities, and in select cities, even individual buildings! We must make efforts to get this dataset into the public domain, instead of reinventing the wheel. Does anyone have any more information on this? SharadI've linked 1 file to this email:Mozilla Thunderbird makes it easy to share large files over email.