Exercise 5

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

• Don’t forget to check out the hints for this lesson’s exercise.
• Scores on this exercise are out of 10 points.

Read a few useful additional hints about what to consider when creating maps from this post.

Consider looking for some interesting datasets from various providers:

• datasets from Kaggle,
• the Estonian Geoportal
• Estonian Open Data Portal
• Statistics Estonia , the Estonian Statistics Board data portal
• Keskkonnaregister , Estonian registry for environmental data

Consider the design - classifications, colors and colormaps, resolution, legend) … and the story - which datasets/layers together make an interesting map to present.

Use your imagination, do some additional calculations and apply the analysis methods you have learned during the course to new datasets that you find online (or from your other work/study projects).

But notice that the main aim here is that you try to do the visualizations as best as you can, it needs to look good and should make sense.

Submit your maps (png, html) and source code (.py or .ipynb)` to Moodle.

Problem 1: Visualize a static map with multiple layers on it (5 points)

Find interesting datasets and mix them in order and create an interesting, good and beautiful STATIC map.

Problem 2: Visualize an interactive map (5 points)

You may reuse the datasets from the static maps exercise from Problem 1 above. This time create as interesting, good and beautiful INTERACTIVE map. Use either Bokeh or Folium.