The technical side of this challenge is all about data aggregation and cleanup. We'd like you to combine the contents of five shapefiles and a CartoDB table together into a single dataset. The fields we would like to see in the final dataset are:
- the "geometry" (of course)
- a "name"
- a "type" (campground, parking lot, etc.)
- a "unit_code" (every National Park Service unit has a four letter alpha code)
The five shapefiles at the root of this repository contain locations for campgrounds, parking lots, restrooms, trailheads, and visitor centers for Arches National Park (unit_code = 'arch').
The CartoDB table (username: nps and table name: points_of_interest) contains points of interest for the entire National Park Service - including Arches National Park.
The second part of the challenge is documenting the process you walked through to create the dataset. Please try and walk us through your process in a simple and effective way.
Place all deliverables in the root of this repository, including:
- The final dataset, in GeoJSON format
- A
WALKTHROUGH.mdfile documenting your process - Any other relevant documentation, scripts, or tidbits of code you write while working your way through this challenge