Use case: Computing the bikability of the Santa Barbara County

Use case: Computing the bikability of the Santa Barbara County

Our goal is to develop a bikability index to estimate how bike-friendly a specific area is. Here, we will focus on computing one component of this index by estimating the steepness of a specific area.

Workflow overview

  1. Download a Digital Elevation Model (DEM) Covering Santa Barbara County
  2. Compute the slope deom this DEM
  3. Calculate zonal statistics on the slope using the US Census Group Blocks for the area
  4. Create a Map showing the median slope for each area
  5. Share our project on GitHub

Data

Ask

  • Work with your coding agent to refine the various steps you will need to complete your task
  • Set up your project file structure organizing data (raw and processed), code, and visual outputs
  • Remember that geospatial datasets can come in different projections
  • Use Python or R to implement this workflow.
    • When using Python, favor geopandas and pangeo libraries (https://pangeo.io/#ecosystem)
    • When using R, favor recent geospatial packages such as sf and terra and the tidyverse style guide
  • Make sure to document your work well

References