Creating a model and exporting to Python

This chapter and the associated scripts depend on the downloadable file SanFrancisco.gdb geodatabase available from Packt. SanFrancisco.gdb contains data downloaded from https://datasf.org/ and the US Census' American Factfinder website at https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml. All census and geographic data included in the geodatabase is from the 2010 census. The data is contained within a feature dataset called SanFrancisco. The data in this feature dataset is in NAD 83 California State Plane Zone 3, and the linear unit of measure is the US foot. This corresponds to SRID 2227 in the European Petroleum Survey Group (EPSG) format.

The analysis which we will create with the model, and eventually export to Python for further refinement, will use bus stops along a specific line in San Francisco. These bus stops will be buffered to create a representative region around each bus stop. The buffered areas will then be intersected with census blocks to find out how many people live within each representative region around the bus stops.