Topic outline

  • Theme 6: Socio-economic indicators

    Theme lecture

    The theme lecture is available at the following web-page:

    Prezi presentation of the socio-economics indicators

    power point presentation


    Hands-on exercise

    For the hands-on exercise, we will provide you with a new exercise script. In the beginning of the hands-on session, we will fetch the script together. However, you can pull the script already before the session and browse it through if you'd like. If you'd like to watch a recap on how a git pull is performed, see the beginning of the first hands-on training session in Teams.

    There is no specific extra data for this week. However, all indicators except the water risks have data for another timestep in addition to the circa-2018 we use in the demo code. Those can be used to explore changes in the indicators, but remember to normalise both years using only one timestep's data so that the values between timesteps are comparable.

    Home assignment

    Discover socio-economics in your study area 

    Instructions:

    1. please develop your own research question
    2. produce EITHER one page infographic OR 'tradional' one page pdf (A4/A3) with following structure: a) title; b) research question and short introduction; c) maps, graphs, etc of the results with captions d) interpretation of the results
    3. you can get help to possible problems by a) searching from internet: there are many people with similar problems; b) posting question to the R Q&A channel in Teams; c) coming to Thursday workshop, or d) asking us or your fellow students directly
    4. once you are happy with the end result, please submit the work (see below Submission)


    Ideas for research questions    : 

    • composition of adaptive capacity and vulnerability
    • adaptive capacity vs vulnerability - differences across the project area (you can calculate resilience by subtracting the vulnerability from adaptive  capacity)
    • population distribution in relation to adaptive capacity and vulnerability
    • change over time in adaptive capacity and vulnerability (data for years around 1995 are available too) Note: when you use data from the older timesteps (e.g. 1996), please use the 5th and 95 percentiles from the most recent year (~2018) when normalising and scaling the data, so that those are comparable

    Submission: please submit the assignment by using the submission icon below. 


    Thursday workshop

    In the Thursday workshop you can get help on the home assignment and the final presentation.

    • Home assignment #6

      Please submit the 6th home assignment here; instructions are given in the main page. 

      Please remember: submission is due on Thu 8.12. at 23:55 (extra time given due to final presentation). Should you submit the assingment late, you'll get only 70% of the points. The submission will be closed completely on following Monday from the DL, after which you are not able to submit the assignment. 

      Before submission, please check:

      • your home assignment fits to one page
      • the format of the submission is pdf
      • for this assignment, no specific graph type is set so you have free hands


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Supporting materials (R and Data)