oid5-backend

indoor data extractor and provider

Data type

"places" table

Building footprints

"buildings" table

All indoor data (with buildings)

"pins" table

Calculate the centroïd of all buildings

Process

1 - get osm.pbf The current osm.pbf contains "buildings:levels" and "indoor:*" data

2 - Filter all buildings that contains indoor data -> osm.pbf -> geojson (osmium) -> load geojson data in geopandas with python/geopandas -> use within() / contains() / intersect() -> output to geojson -> send to DB

• export to geojson
• import in db

Test / validation

ogr2ogr -f "PostgreSQL" \
  PG:"dbname='openindoor-db' host='openindoor-db' port='5432' user='openindoor-db-admin' password='admin123'" \
  /test/data/Rennes_example.geojson \
  -nln buildings \
  -overwrite \
  -skipfailures

ogr2ogr -f "PostgreSQL" \
  PG:"dbname='openindoor-db' host='openindoor-db' port='5432' user='openindoor-db-admin' password='admin123'" \
  /data/tmppoly.geojson \
  -nln "building_footprint" \
  -overwrite \
  -skipfailures