Which Postgres and PostGIS views do you find most useful?

• landuse_without_buildings

  1 11 1.6 Jupyter Notebook

  OpenStreetMap: Find residential areas with too few buildings in them

Hey, I happen to have done something like this: https://github.com/hfs/landuse_without_buildings/

• unmapped-census

  1 6 10.0 Jupyter Notebook

  Find missing residential areas in Germany in OpenStreetMap based on census 2011

The difference to the US is that in Germany almost all residential areas were already mapped as landuse=residential. In a project before the buildings, I used high-resolution Census data to identify areas where people live which were not yet mapped in OSM: https://github.com/hfs/unmapped-census

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• GeoDesk

  9 132 7.6 Java

  Fast and storage-efficient spatial database engine for OpenStreetMap data

If you're proficient in Java, you can also use our open-source toolkit to analyze OpenStreetMap datasets.

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