This is amazing. Keep us updated On Sat, 21 May, 2022, 11:32 pm Nikhil VJ, <nikhil...@gmail.com> wrote:
> Hi All, > > I've created an application where we can compare PMGSY and OSM rural > Habitations data: > https://server.nikhilvj.co.in/pmgsy/ > > > > Right-click on the map to load all habitations for that area (what they > call Block). > If you scroll below the first table, You'll find an OSM button - click it > to fetch rural places from OSM. > The app will pull those from overpass, then compare with the Habitations > data to show nearby and far OSM places. > > There's also a feedback layer built : You can submit feedback for a PMGSY > Habitation or an OSM place. > (Input side is ready; output side still work to do) > You can copy the browser URL for a permalink - can share it with others > and they'll land exactly where you are. > Example: > https://server.nikhilvj.co.in/pmgsy/?S=20&D=293&B=447&O=N#12/22.2023/76.6530 > (habitations in a lake?) > > There is an "Edit in OSM" button below the map - clicking that will open > up main website OSM Editor, with the block's boundary loaded as guide so > that you can map. > > There's more we can do with this - one idea is to make this a place where > we can link up PMGSY and OSM ids and have feedback flow both ways. > Another is to vet the data and filter out the Habitations that are > suitable candidates for a bulk import into OSM. > Scope for integrations too - for example, I just included a cool SOI > maps background published by > https://ramseraph.github.io/opendata/maps/SOI/ > > Inviting inputs and collaborations. And the bottom of the application page > has a way to contributie if you'd like to support this and such projects. > > API doc: https://server.nikhilvj.co.in/pmgsy/docs > Source code: https://github.com/answerquest/pmgsy_osm_comparison > Tech stack: Backend: Python3 FastAPI > DB: PostGreSQL, same one as in > https://github.com/answerquest/import_geosadak > > I've also run an analysis on every state > district > block and created a > stats CSV which gives numbers of habitations, OSM places, near/far breakup > etc. You'll find it in the repo. > This project is a work in progress, so if you're reading this a week or > month later, things may have changed. > > More Screenshots: > > > > > > > > > -- > Cheers, > Nikhil VJ > https://nikhilvj.co.in > > -- > 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/CAH7jeuOM6gOvS%3D8OO0T-z4kTb9oTpHeu26wr%2B_vOqZ-wruiNng%40mail.gmail.com > <https://groups.google.com/d/msgid/datameet/CAH7jeuOM6gOvS%3D8OO0T-z4kTb9oTpHeu26wr%2B_vOqZ-wruiNng%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 datameet+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/CAFFWLbDKNm-4UB1TmuO%3DVE63vY6XoEKHVkJSptjkh0PGWN47QQ%40mail.gmail.com.
