Gathering tasks for SICSR data session Jan 23 2019 about datameet-pune.github.io HOT 4 OPEN

MH Talukas PDFs and shapefiles comparison using QGIS software

Taluka PDF maps from MRSAC: http://www.mrsac.gov.in/en/taluka-maps
pages go till http://www.mrsac.gov.in/en/taluka-maps?page=0,12

Each PDF has outlines and names of villages in the Taluka.

MH Villages shapefile : https://drive.google.com/open?id=0B3gxOiUzXTR-RVdZNXh4X1huUG8

What we have to do is

• Open PDF of taluka
• Load MH Villages shapefile in QGIS and filter down to the taluka in focus
• Set display properties to show village name as label
• Visually inspect both, and make notes of any discrepancies.

Possible discrepancies

• Some villages are shown to be under another taluka
• One village is split into multiple parts in the shapefile.
• Names are different for the same location/shape in PDF and shapefile
• Boundaries don't relate.

Discrepancies can be logged in this tracking sheet (request organisers for access), or can be compiled separately if there is more details. We should try as far as possible to standardise it into tables and not keep it verbose.

Larger aim of the exercise

To document discrepancies between the official PDFs and the villages shapefile that Datameet has

Why

• Shapefile has census 2011 codes for each village, which the Taluka PDFs do not have
• Shapefile has village maps in digitized geospatial data form, can be immensely useful for researchers
• But it is compiled from non-official sources, so it needs to be audited to ensure that it is showing accurate information as per official data and can be relied upon.
• The PDFs are officially published by state agency MRSAC for public use, so can be considered as official source that we can audit the shapefile with.

from datameet-pune.github.io.

Openstreetmap mapping: Rural roads in Maharashtra

https://tasks.teachosm.org/contribute?difficulty=ALL&organisation=datameet

from datameet-pune.github.io.

Finding ward number geospatially

Given a dataset of entities in Pune with lat-long locations, use QGIS or other geospatial tools to determine the ward number under which each data-point falls, and create a column in this dataset indicating ward number.

Supporting data: Pune ward maps, latest as well as previous.

Data this exercise can be done on: http://opendata.punecorporation.org/Citizen/CitizenDatasets/Index?categoryId=37

from datameet-pune.github.io.

Mapping schools of Pune

Pune Open Data Portal has published following datasets of schools:

School Enrollment statistics for 2016-17
http://opendata.punecorporation.org/Citizen/CitizenDatasets/Index?categoryId=13&dsId=400&search=school
1210 schools details here.

School Enrollment Statistics 2012-2016
http://opendata.punecorporation.org/Citizen/CitizenDatasets/Index?categoryId=13&dsId=417&search=school0

These need lat-long information.

from datameet-pune.github.io.