Exercise 3

This week we will practice how to do geocoding, spatial joins and nearest neighbour analysis in Python.

In this exercise, we will work with a practical case: the goal is to find out how many people live within 1.5 km (Euclidian) distance from big shopping centers in Helsinki Region, and which of those shopping centers is closest to your home and work location (Problems 1-3). In addition, you will figure out the closes shopping center from your home and work locations (Problem 4).

• Exercise 3 is due by Wednesday the 20th of November at 4pm (day before the next practical session).

• Hints will be added here if needed. Remember also to ask for help if our Slack channel!

• Scores on this exercise are out of 20 points.

Sections

• Problem 1: Geocode shopping centers
• Problem 2: Create buffers around shopping centers
• Problem 3: How many people live near shopping centers?
• Problem 4: What is the closest shopping center from your home / work?

Solution cells and test cells

Solution code cells

You can always start working by removing these two lines of comments/code:

# YOUR CODE HERE
raise NotImplementedError()

We are checking your solutions semi-automatically using nbgrader which is a package for creating and grading assingments in Jupyter Notebooks. Please use the suggested variable names when writing your code so that our hidden tests work smoothly :)

Non-editable code cells

Some of the code-cells are "non-editable" which means that you are supposed to run them, but you are not able to edit them. These Non-editable code cells should help you to test your code while you proceed.