Thank you Sreeram. I had a few initial questions about the villages release you shared - https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/villages
I was curious about the sources listed there - are these the actual origins of the data? If so, why are they not WFS servers or links directly referencing your Python library that can pull data from such endpoints? Or is it that you’ve used your library to extract the data from those WFS servers, and the links listed are simply the underlying source references? Also, when I tried following some of those source links, I couldn’t find any raw data or shapefiles, at least not directly. So I was wondering what's the intention behind listing those particular links as sources? Just trying to understand all this better ... On Tue, Jul 8, 2025 at 9:13 AM sreeram kandimalla < [email protected]> wrote: > 1) Most of the lifting for the scraping part is done. Shapefile > equivalents are here - > https://github.com/ramSeraph/indian_admin_boundaries > > 2) This is the actual heavy lifting.. Do publish if you manage to create a > process. Also.. depends on why you want to use the data for, I would > suggest looking at https://devdatalab.org/shrug where the heavy lifting > till 2011 was handled. Some of the tools ( > https://github.com/paulnov/masala-merge ) created by those folks might > also be useful for cleaning elsewhere as well. > > On Mon, 7 Jul, 2025, 23:02 Smriti Mittal, <[email protected]> > wrote: > >> I’ve been digging through the DataMeet Google Group archives and other >> open data forums to find village-level shapefiles for India, but haven’t >> had much luck so far. Also came across bhuvan's WMS layers (no underlying >> geometry, could not find any working WMS yet) and WFS endpoints (could not >> get this one as well working). >> >> 1) I’m not necessarily looking for ready-to-use shapefiles. Even if there >> are raw or obscure sources - things that need scraping, conversion, or >> heavy lifting, I’m absolutely fine with that. I’d just be grateful for any >> direction. I WANT to do the heavy lifting! >> >> 2) I’d also love to understand how do you go about cleaning and >> processing the data you would have used for a state. If there’s any >> public data worth working with (even if messy), I’m keen to learn how you >> approach it and try replicating the process for other states >> >> -- >> 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]. >> To view this discussion visit >> https://groups.google.com/d/msgid/datameet/CAC6keeLTAJsK%2BgdzMh214pe6y7Y7PLpuBCNR2QmQ6f-jBTivOA%40mail.gmail.com >> <https://groups.google.com/d/msgid/datameet/CAC6keeLTAJsK%2BgdzMh214pe6y7Y7PLpuBCNR2QmQ6f-jBTivOA%40mail.gmail.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 [email protected]. > To view this discussion visit > https://groups.google.com/d/msgid/datameet/CAMgvHC48tbib2sYARVWTNvdeS%2BQUtpL9f1s-%2BBi0KSJkuCSnkg%40mail.gmail.com > <https://groups.google.com/d/msgid/datameet/CAMgvHC48tbib2sYARVWTNvdeS%2BQUtpL9f1s-%2BBi0KSJkuCSnkg%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > -- Smriti -- 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]. To view this discussion visit https://groups.google.com/d/msgid/datameet/CAC6kee%2B2W_hhAeM%2B8dTZbd52T-n0%2B5RGmJFWJ4YVTSF01xatrw%40mail.gmail.com.
