Exercises Module 6 - Data Analysis with QGIS#

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These exercises touch on all the content of module 6.

  • Calculate vulnerability index - Part 1: We want to create an overview of different vulnerability indicators. From the Covid-19 risk indicators dataset we take % permanent wall type, % permanent roof type and poverty incidence. From the Uganda population statistics, we calculate the % of under fives and % of elderly. By combining the data, we are now able to visualize the areas in Uganda that are most vulnerable.

    • Centroids

    • Move points

    • Reproject layer

    • Fix geometries

    • Join attributes by location

  • Calculate vulnerability index - Part 2: We want to create an overview of different vulnerability indicators. From the Covid-19 risk indicators dataset we take % permanent wall type, % permanent roof type and poverty incidence. From the Uganda population statistics we calculate the % of under fives and % of elderly. We combine the data and we are now able to visualize the areas in Uganda that are most vulnerable.

    • Join attributes by field value

    • Table functions

    • Field Calculator

    • Geodata Classification- Graduated