The Hack For LA Data Science team is a Community of Practice within the LA brigade seeking to make analytical and machine learning services available to local communities and organizations.
Project idea from Karina to examine accessibility to green spaces (parks, public beaches, etc.) within the City of LA. Ideas include:
Combining metro/crime (e..g, vehicle crash data) data sets to see how accessible (transportation-wise) third green spaces are for the broad population.
Examine population density info get a sense of the size of parks x population it’s serving in a mile-radius. Analysis can be helpful in many (deciding where to hold public events, determine underserved areas for new green spaces, etc)
Data Sources Starting Point
Some data sources to start exploration can be found here:
Additional Data sources may be used for this project.
Next steps
[ ] Decide if this should be one issue or multiple.
[ ] Decide on what additional analyses we can do
[ ] Complete Project Proposal outlining: Objective, Expected Deliverable(s), Data Sources & Limitations, Research outline. Ideally, proposal should outline possible stakeholder(s) (e.g, LA resident, city council) of project deliverables.
Project may involve:
Python, GIS data, data analytics, dashboard-building, data modeling
Overview
Project idea from Karina to examine accessibility to green spaces (parks, public beaches, etc.) within the City of LA. Ideas include:
Data Sources Starting Point
Some data sources to start exploration can be found here:
Additional Data sources may be used for this project.
Next steps
Project may involve:
Python, GIS data, data analytics, dashboard-building, data modeling