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Significantly lower the barrier to working with NSW geographic, planning, land and property data.

Getting Started

1. Install and start docker.
2. Create your virtual environment and then install
3. Install the dependencies

   # I'm sorry I know there are more modern ways of
   # handling dependencies in python but I haven't
   # gotten around to learning them yet.
   pip install -r requirements.txt

4. Run the following within the virtual env

   python -m lib.tasks.ingest --instance 1

It may take an hour or so, but you'll see logs as you go.

Connecting to the database

You will find the credentials to local instance of the database here.

Data Sources

• Abs Shapefiles
• Geoscape Geocoded National Address File
• NSW Valuer General land prices
• NSW Valuer General property sales
• NSW Spatial Services GIS data

Disclaimer

Please respect the respective terms of use of the different dataset provided.

Especially once you either publish visualisations using the data or start using it for business reasons, you should understand what the terms of use are.

Contributing

General Structure

• lib this is where all reusable code between notebooks are
• sql this may suprise you but this is where I store SQL.
  • This is mostly loaded in the data ingestion notebook.
• _out_web this is where all the content is downloaded too
• _out_zip this is where all zips are zipped into.
• _out_state this is application state.
• _out_cache this is similar to _web_out in that it mostly exists to avoid repeating API calls. This is just significantly less human readable (files with UUID names).
  • The main usecase is minimizing API calls to GIS servers

Tests

./scripts/check_tests.sh

Types

./scripts/check_types.sh

Questions

What are the note books starting with pg_

Those are mostly for experimenting, in particular experimenting with data to find how to best ingest it into the database, or figuring out how the general data structure and how to use that data.