I want to see if there's a relationship between the natural beauty of an area and the price people are willing to pay in order to live there.
I am using the Natural Amenities Scale provided by the USDA for 1993.
I am supplementing this with updated measures of urbanization, provided by the USDA here
The housing data that I am using as my target can be found here.
I also used population density information from Wikipedia.
- Python
- Numpy
- Pandas
- Matplotlib
- Scikit-learn
Natural amenity features do capture variation in median home price. Adding them to conventional models can improve predictive power of housing costs per city and county.