Andhra Pradesh/Imports/PMGSY Facilities Import
Goals
There are 42,474 geo-tagged facilities released under GODL License for Andhra Pradesh. Plan is to import them and improve data quality in Andhra.
Import Data
Background
Source site: omms.nic.in
State wise CSV: https://github.com/pratapvardhan/rural-facilities-pmgsy
Data License: Government Open Data License - India (GODL).
ODbL compliance: Yes
Data
| S. No | Category | PMGSY Count | OSM Count
pre import |
Imported Count | OSM Count
post import |
Import Status | Users | Comments |
|---|---|---|---|---|---|---|---|---|
| 1 | Bank | 2612 | 666 | 0 | Not Started | |||
| 2 | High School - General | 4822 | 1176 | 0 | Not Started | |||
| 3 | Primary Health Centre | 2076 | 0 | Not Started | ||||
| 4 | Panchayat Headquarter | 12080 | 0 | Not Started | ||||
| 5 | Mandi (Notified) | 873 | 0 | Not Started | ||||
| 6 | Collection Centre or Pack House | 5709 | 0 | Not Started | ||||
| 7 | Agro Industry | 3275 | 0 | Not Started | ||||
| 8 | Fuel Station | 1410 | 1143 | 1040 | 2183 | Completed | ph4ni | 216 already exist in OSM. Updated brands of 41 from PMGSY data. Rest are bad data. |
| 9 | Veterinary Hospital | 2887 | 23 | 0 | Not Started | |||
| 10 | High School - Girls | 331 | 0 | Not Started | ||||
| 11 | Block Headquarter | 499 | 0 | Not Started | ||||
| 12 | ITI | 116 | 0 | Not Started | ||||
| 13 | Bedded Hospital | 238 | 0 | Not Started | ||||
| 14 | Degree College | 546 | 0 | Not Started | ||||
| 15 | Higher Secondary School | 706 | 0 | Not Started | ||||
| 16 | Cold Storage | 214 | 0 | Not Started | ||||
| 17 | Bus Stand | 2661 | 896 | 0 | Not Started | |||
| 18 | GRaM (Notified) | 170 | 0 | Not Started | ||||
| 19 | Community Health Centre | 219 | 0 | Not Started | ||||
| 20 | Warehouse | 803 | 0 | Not Started | ||||
| 21 | Is Part of Rurban Cluster? | 150 | 0 | Not Started | ||||
| 22 | Sugar Mills | 77 | 0 | Not Started | ||||
| Total | 42474 | 1040 |
OSM Data Files
To be prepared
Import Type
This will be a one-time import. There are not many attributes so there won't really be a need for Conflation.
Data Merge Workflow
Team
- User:Ph4ni
Workflow
- Import category and district wise. The dataset is using old district names.
- Download relevant data from overpass. Do a nearest neighbor match between OSM data and PMGSY data. Delete overlaps in PMGSY data.
- Convert the resultant CSV to OSM compatible format by using tags in columns.
- Then convert that CSV file to .osm file using JOSM OpenData plugin.
See also
Posted in OSM AP Telegram group, yet to post in community forum.