/Exercise-5

Exercise5 : Visualizing spatial data

MIT LicenseMIT

Exercise-5

This week we will practice how to create static and interactive maps in Python.

Due dates

  • 100 % of point total if you return your solution within 1 week (due date 05.12.2016)
  • 85 % of point total if your return your solution within 2 weeks (due date 12.12.2016)
    • Detailed hints provided
  • 50 % of point total if you return your solution within 3 weeks (due date 19.12.2016)
    • Full solution provided

Sections

Problem 0: Feedback for the first half of the course in Period II

Having completed the first half of our courses, we would again ask your to complete this mid-term feedback form to help us to continue developing and improving the course.

Instructions for storing the maps

For this exercise a folder called docs have been created the Exercise 5 repository. You should upload ALL your maps under that folder and add links to those maps in the specific Entrance page (index.md) that is also located under that folder. There are more instructions how the links should be formatted in the docs/index.md -file.

Problem 1: Visualize a static map with multiple layers on it

Play around with the data that was provided for you and used during the lesson and create as interesting, good and beautiful STATIC map(s) that you can.

Upload your maps to the docs folder and create link to those map(s) in the index.md file. Use your imagination, you can e.g. do some calculations on the current datasets or use also the analyses that we have done earlier in the course.

But notice that the main aim here is that you try to do the visualizations as best as you can, thus the subject what you are presenting is not important.

Problem 2: Visualize an interactive map

Play around with the data that was provided for you and used during the lesson and create as interesting, good and beautiful INTERACTIVE map(s) that you can using either Bokeh or Folium or both.

Upload your maps to the docs folder and create link to those map(s) in the index.md file. Use your imagination, you can e.g. do some calculations on the current datasets or use also the analyses that we have done earlier in the course.

But notice that the main aim here is that you try to do the visualizations as best as you can, thus the subject what you are presenting is not important.

Hints

If you need more help with the exercise, read the hints.