Topic outline

  • Welcome to Water and People course!


    Schedule and other practicalities

    Registration has been closed. Please do the pre-assignment in time! Note: there will be short pre-assignment to be done, due on Tue 19th of April at 12:00, to get familiar with the programming environment.

    The course starts on Tue 19h of April 2022 at 12:30.

    The course can only be done by attending to live lectures and exercises and thus pure online learning is not possible. However, all the lectures and training sessions will be recorded and thus if you are sick and cannot attend, you can still watch the lectures and training sessions. For Thu workshops also online attendance is possible. 

    See more details in 'Schedule & practicalities' tab on the left. 

    Please note

    1. Tuesdays' lecture-training sessions (12:30-16:15) are compulsory and student need to attend to minimum five out of six of them, in order to pass the course.

    2. Thursdays workshops (9:30-11:30) are not compulsory but recommended. To these you can also attend via zoom.

    3. Due to public holidays, one Thursday workshop will be held on Wednesday instead - see schedule for more details


    Short description

    Food security and the overall wellbeing of human kind are threatened by the overexploitation of our water and land resources. Water scarcity is not only a threat to people, but also to many of the planet's key ecosystems. But how have we ended up in this situation, and how does the future look like? 

    In this course, the aim is to investigate how the world has changed over time, and how these changes have impacted on our water and land resources. Moreover, as the pressure on natural resources is expected to only grow in the future, an overview on future pathways is given. Within the course, a student will explore and assess these changes using various spatial analyses methods of R, over different global datasets. Moreover, advanced graph and map making is practised with Adobe Illustrator.  


    Contact

    Should you have any questions, please do not hesitate to contact the teacher: matti.kummu@aalto.fi



  • From this section you can find the overall schedule for the course and other practical information. 

    Please note: each lecture on Tuesdays (12:30-16:15) is divided into two parts: lecture itself and hands-on training. These Tuesday sessions are compulsory and you need to attend to minimum five out of six of them, in order to pass the course. Workshops on Thursdays are optional. 


    Lectures and other sessions will be given in in class room. Lectures and training sessions will be recorded for those who cannot attend due to sickness. It is not possible to do the course fully remotely, as full hybrid teaching is not possible


    Course schedule:

    WeekLecture date
    Tue at 
    12:30-14:00 @ U401

    14:15-16:15 @ U351
    ThemeWorkshop date
    Thu at 9:30-11:30 
    @ U351
    / zoom
    Home assignment
    due
    Mondays by 23:55
    16Tue 19.4.1. Global water resources; 
      + Introduction to the course
    Thu 21.4.Mon 25.4.
    17Tue 26.4.2. Population dynamics
      + project work kick-off
    Thu 28.4.Mon 2.5.
    18Tue 3.5. 3. Land cover change and food productionThu 5.5.Mon 9.5.
    19Tue 10.5. 4. Water use

    Thu 12.5.

    Mon 16.5.
    20Tue 17.5.5. Water scarcityThu 19.5. Mon 23.5.
    21Tue 24.5.6. Socio-economics of water and foodWed 25.5. (due to public holiday)Wed 1.6.
    22Tue 31.5. Final presentation - 
    you can decide within the small groups
    when is the best time
    for presentations.
    Presentation session takes 2-3 hrs. 
    --

    ** note the change in date; time remains same



    Course plan

    You can download the course plan from here

    Introductory ppt

    Introduction ppt (includes all the practicalities, grading criteria in more details, etc)

    Grading

    The grading is based on following division: active participation in Tuesday lecture-exercise sessions (12.5%), home assignments (62.5%), final presentation (25%). Please see the Introduction ppt above for more detail description of the grading, criteria, point limits for each grade, etc.


    R for own computer

    We will be using R over RStudio for spatial analyses. You can install these to your own computer; please make sure that you have R version of 4.0 or higher. Below are useful links:

    - R: https://www.r-project.org

    - RStudio: https://www.rstudio.com/products/rstudio/download/

    - Guide to installe these on Windows or Mac: https://www.datacamp.com/community/tutorials/installing-R-windows-mac-ubuntu


    Adobe Illustrator for your own computer: 

    we practice and use Adobe Illustrator for making the graphs and maps from R even nicer. You can access to it via VDI-connection; see instructions in Adobe Illustrator use via VDI -tab.



  • Not available unless: You belong to any group

    To attend to Thursday workshops via zoom, use the following address:

    https://aalto.zoom.us/j/67497170954

    or if joining from Zoom app, Meeting ID is 674 9717 0954

    Miro board:

    https://miro.com/app/board/uXjVO8IB6R4=/?share_link_id=62342956077

    Anonymous Presemo for questions:

    https://presemo.aalto.fi/wpcourse2022/

    Attendance list (please mark your attendance to lectures and workshops here):

    https://docs.google.com/spreadsheets/d/1q47iiW18hlYQ1GXwY7TnwUdeJIQlldbxDG0xZaynla0/edit?usp=sharing


    -----------------

    Brief instructions and guides on the Zoom in workshops:

    • Main aim of the Thu workshops is to get personal help, so please ask questions and comment. There are three ways to do so:
    1. raise your hand (see below)
    2. just interrupt (unmute yourself, and ask a question or say a comment)
    3. place your question/comment to chat (see below) or to Presemo (link above)
    • please keep yourself muted whenever you do not need to talk
    • when you comment, I would appreciate of having your video on too (not compulsory though)

    Instructions on raising your hand, etc
    1. Click the Participants button.


    2. Click one of the icons to raise hand or provide feedback. Remember to click the icon again to remove it.

    Note: You can only have one icon active at a time.


    Instructions on Chat

    1. Click Chat in the meeting controls.

    2. This will open the chat on the right. You can type a message into the chat box. From the drop down next to 
    To:, you can choose to whom to send a message (all, or specific person)


  • Not available unless: You belong to any group

    Here are the tentative grades; you did excellent work in the course! Many thanks again for your active participation and positive attitude over the entire course!

    Student numbers Points Grade
    526982 90 5
    63118A 92 5
    649063 84 4
    650159 90 5
    714422 84 4
    716420 92 5
    798972 93 5
    914060 71 3
    994640 77 4
    1013928 95 5
    1026863 68 3
    1030480 94 5
    100072514 95 5
    100074651 96 5
    100282184 87 5
    100282249 95 5
    100283581 89 5
    100283769 93 5
    100283963 90 5
    100285725       
    94 5

    Maximum points are 96 (+ 3 from workshops), and thresholds for the grades follow:

    1: 48p (50% of total points)     2: 58p (60%)   3: 67p (70%)     4: 77p (80%)     5: 86p (90% of total points)


  • Few things about the final presentation

    • form: 15 min presentation to a group of 4-5 students + teacher
    • based on the home assignments, so you do not need to do much new work (if you do not want to) 
    • main thing is that you make a coherent and clear story out of the selected weekly themes, with clear research question or two (i.e. the most interesting things you want to concentrate a bit more - the idea is NOT that you just scroll through all your home assignments
    • it would be good also if you could reflect your findings with the literature within the presentation 
    • you need to present it to your peer-group within 15 min (strict), so you get practice of presenting research and also it gives you an opportunity to discuss about your findings 
    • you can do the presentation with power point, prezi or any other software 
    • I am happy to discuss about it more whenever needed. 


    Schedule & peer-groups

    please fill out the doodle after you have agreed the time with your group (see below) - max 3 groups can present at the same time:

    doodle is closed

    You can find the peer groups for the project work presentations below, and download the evaluation form from the following links:


    Group

    Members

    Presentation time     
    at Tue 31.5

    Place: 
    @Learning centre

    African basins
    Fanni, Léna, Noah, Reeta
    12:00-14:30
    Ilmari (106)
    Asian basinsCamilla, Daria, My Chu, Peter
    9:30-12:00
    Ilmari (106)
    Euro-American basins
    Ben, Henri, Nathan, Pauline, Sara
    14:30-17:00
    Ilmari (106)
    European basins     
    Hannah, Raija, Thomas, Tiitu
    12:00-14:30
    Dora (109)
    S-American basins Cathelijn, Luisa, Suvi, Vilma
    14:30-17:00
    Dora (109)


    Presentation

    Each group member will give max 15 min (strict!) presentation about their project, followed by 10 min discussion.

    The presentation should include following parts:

    • short introduction to project area
    • research questions
    • main findings
    • discussion and conclusions


    Please keep the introduction very short, to have enough time for the main findings. Idea is that those findings are based on your home assingments, and in the presentation you collect the most interesting findings and make a nice story out of them. 

    You can use what ever programme you want to do the presentation. If you have energy and time, you can consider in learning a new programme. But do not stress about it, you can use the one you are most familiar with.


    Evaluation

    The evaluation of the presentation will be based on following questions:

    • How coherent the overall story was? 
    • How clear were the research questions? 
    • Quality of illustrations and graphs 
    • How well linked to the issues dealt within the course? 
    • How well presented?

    The grade is an average of self-evaluation (1/3), peer-evaluation (1/3) and teacher evaluation (1/3).


    How to make a good presentation?

    Each one of us have our own style to present things, and you should not change that. But there are some general tips for how to make a good presentation - below is given one video that I found useful:


    Practicalities of presenting the presentation

    1. We'll have a laptop from which you can present the presentation that needs computer. If you have other format of presentation, please inform us. 
    2. Once your presentation is ready, please upload it to MyCourses, using the link at the bottom of the section. If you use Prezi, just provide the link to us. Upload your presentation at least 30 min before the presentation time starts. 
    3. Reherse the presentation before the event
    4. Come to the Zoom in time, preferably ~5 minutes before the presentations start


    Final presentations

    You can download all the final presentations from below:

    presentations_2022.zip

  • As a pre-assignment, you are asked to set up the R environment ready for the course, as well as familiarise you briefly with the R language. Instructions are given in the pdf below. Please go those through carefully.

    WAT_E2090_preassignment_2022.pdf

    You need to complete the pre-assignment by 11:55 Tue 19th of April (i.e. before the course starts), by submitting the two pdf plots from the R script to the Submission box below. It should not take long, but as it potentially includes installing software etc (if you do not have those installed) please do start in well advance. 

    We provide help via Zoom, if needed, during the following time slots:

    Thursday, April 14th from 14:00 to 16:00

    Tuesday, April 19th from 9:00 to 11:00

    You can drop in to Zoom session (link in pre-assignment instructions) or send an e-mail/Teams message to Vili Virkki (vili.virkki@aalto.fi) and Sara Heikonen (sara.heikonen@aalto.fi) to book a time within those time periods.

    See you on coming Tuesday!


  • Introduction to the course

    You can download the introduction ppt from the file below:

    Introduction ppt


    Theme lecture

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

    Prezi on water resources (opens in a new window)


    Hands-on training

    For each hands-on training, we will provide you with a demo script to be used with data that was delivered with the pre-assignment. We will go through the demo script step by step during the hands-on sessions. The demo script contains few tasks marked with # TODO, which you can try filling in. We will provide model answers to all tasks after the demo session in another script.

    In the beginning of the first hands-on session, we will fetch the first demo script together. For future reference, the videos below illustrate how to update course material and what you will need to know about working directories.

    Please note that the correct name of the course directory is wpcourse2022 and the cyan identifier named “master” has been changed to “main” in Git. Furthermore, the data has already been delivered with the pre-assignment, so only demo1_water_resources.Rmd should come by pulling.

    Video: updating course material by pulling changes

    Video: working directories

    Written instructions on how to update course material are given below.

    1. Open your project from the wpcourse2022.Rproj file
    2. In RStudio, select Tools -> Shell


    3. Verify that the shell is in the wpcourse2022 folder. In Aalto VDI, the current directory of the shell is highlighted in yellow. If there's a cyan (main) tag after the path, the shell is in the correct directory. Changing directories can be done with the command cd path/to/directory.


    4. Commit any previous work according to the instructions in this video (note that the video is from 2021). The working tree should be clean as shown below. The output before the working tree can be "Your branch is XXX commits ahead of 'origin/master'" but that is expected and nothing special needs to be done for it.


    5. Type git pull into the shell and press enter.
    6. The shell pulls the changes from the version control system to your folder wpcourse2022.
    7. If you pull again, you should get "Already up to date." which means that you're good to go.


    Home assignment

    1. Discover global / regional runoff and precipitation patterns

    Instructions:

    1. please select a research question below or develop your own (preferred!)
    2. produce one A4/A3 page 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)


    This weeks illustration type: maps; include at least one map to the home assignment! See example charts under 'Visualisation guides and examples' -tab 

    Example research questions:

    • Variability: How much does runoff/precipitation/temperature vary over a year by grid cells / large river basins (monthly data is available)?
    • Past trends: How much have runoff/precipitation/temperature changed over the past decades (data for three time steps since 1960-1979 is available)?
    • How large percentage of precipitation is turned to runoff? Please note that precipitation and runoff come from different sources
    • Countries of extremes - in which countries the a) difference of precipitation, b) difference of temperature, c) difference of runoff, and/or d) seasonal variability of runoff are greatest?
    • Impact of climate change - from the data folder you can find global monthly precipitation and temperature under two climate change scenarios (year 2050).

    Example submission: from this link you can find an example submission (please note, the time series plot comes only next week and thus, it is encouraged to include only maps to this week's home assignment). 

    Submission: please submit the assignment by using the submission icon below. Submission is due on following Monday from the lecture. If you submit the assignment late, you'll get only half of the points. The submission will be closed completely two weeks after the lecture, after which you are not able to submit the assignment. 

    2. Select the geographical area of your final presentation

    Instructions: by using the selection tool below [the one with question mark], please choose the large river basin on which your individual final presentation will be concentrated on. Only one student per river basin is allowed. EDIT: several students can choose same basin. If you are particularly interested in one river basin and it is taken, you can negotiate with the other student whether she or he is able to change. More information about the actual final presentation will be give within the second lecture.


    Thursday workshop

    Before Thu workshop, please test that Adobe Illustrator works well with VDI computer you are using. Instructions for using Illustrator can be found under 'Adobe Illustrator use via VDI' -tab on the left.

    On Thursdays we have a workshop (see Schedule for location) in where you can get help on the home assignment. During the workshop we'll give a short lecture on Adobe Illustrator to show how you can use it to enhance your vector graphs and make them visually appealing. 

    Here is the short video on how you can use Illustrator in the case of raster maps:

    Illustrator video part 1 (recorded year 2021; this year's recording in Teams)


  • Theme lecture

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

    Prezi presentation of the population dynamics

    Presentation of the week, including the introduction to individual final presentation:

    Weekly ppt, including Final presentation introduction


    Hands-on exercise

    For the hands-on exercise, we will provide you with a new demo script. In the beginning of the hands-on session, we will fetch the demo script together. However, you can pull the demo script (demo2_population_dynamics.rmd) already before the session and browse it through if you like (this is voluntary). If you'd like to watch a recap on how a git pull is performed, see the first workshop recording below.

    First week workshop recording

    We will go through the demo script step by step during the hands-on sessions. Again, the demo script contains few tasks marked with # TODO, which you can try filling in. We will provide model answers to all tasks after the demo session in another script.

    Please note that the correct name of the course directory is wpcourse2022 and the cyan identifier named “master” has been changed to “main” in Git.

    Written instructions on how to update course material are given below.

    1. Open your project from the wpcourse2022.Rproj file
    2. In RStudio, select Tools -> Shell


    3. Verify that the shell is in the wpcourse2022 folder. In Aalto VDI, the current directory of the shell is highlighted in yellow. If there's a cyan (main) tag after the path, the shell is in the correct directory. Changing directories can be done with the command cd path/to/directory.


    4. Commit any previous work according to the instructions in this video (note that the video is from 2021). The working tree should be clean as shown below. The output before the working tree can be "Your branch is XXX commits ahead of 'origin/master'" but that is expected and nothing special needs to be done for it.


    5. Type git pull into the shell and press enter.
    6. The shell pulls the changes from the version control system to your folder wpcourse2022.
    7. If you pull again, you should get "Already up to date." which means that you're good to go.


    Home assignment

    Discover global / regional / river basin population dynamics

    Instructions:

    1. please select a research question below or develop your own (preferred!)
    2. produce one A4/A3 page with following structure: a) title; b) research question and short introduction; c) GRAPHS, maps, 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)


    This weeks illustration typebar and scatter plots; include either one to the home assignment! See example charts under 'Visualisation guides and examples' -tab 

    Example research questions

    • what is the distribution of population in different precipitation and/or temperature zones and has this changed over time? Does that differ between urban and rural population?
    • how far from fresh water sources people live today and has that changed over time or will it change in the future? Does that differ between urban and rural population?
    • where do people live in relation to elevation and distance to coast? Does that differ between urban and rural population?


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


    Thursday workshop

    On Thursdays we have a workshop (see Schedule for location) in where you can get help on the home assignment. At around 11:00, we'll give a short lecture on Adobe Illustrator to show how you can use it to enhance your vector graphs and make them visually appealing. The lecture is also given in the video below:

    Illustrator tutorial - part 2 (from year 2021)

  • Theme lecture

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

    Prezi presentation of the food production

    Week's ppt


    Hands-on exercise

    For the hands-on exercise, we will provide you with a new demo script. In the beginning of the hands-on session, we will fetch the demo script together. However, you can pull the demo script (demo3_food_production.rmd) already before the session and browse it through if you like (this is voluntary). If you'd like to watch a recap on how a git pull is performed, see the first workshop recording below.

    First week workshop recording

    We will go through the demo script step by step during the hands-on sessions. Again, the demo script contains few tasks marked with # TODO, which you can try filling in. We will provide model answers to all tasks after the demo session in another script.

    In addition to the domestic food production data introduced in the demo, we provide you with additional datasets on food supply and the prevalence of different BMI classes. See more in the Supporting materials (R and Data) tab.

    Written instructions on how to update course material are given below.

    1. Open your project from the wpcourse2022.Rproj file
    2. In RStudio, select Tools -> Shell


    3. Verify that the shell is in the wpcourse2022 folder. In Aalto VDI, the current directory of the shell is highlighted in yellow. If there's a cyan (main) tag after the path, the shell is in the correct directory. Changing directories can be done with the command cd path/to/directory.


    4. Commit any previous work according to the instructions in this video (note that the video is from 2021). The working tree should be clean as shown below. The output before the working tree can be "Your branch is XXX commits ahead of 'origin/master'" but that is expected and nothing special needs to be done for it.


    5. Type git pull into the shell and press enter.
    6. The shell pulls the changes from the version control system to your folder wpcourse2022.
    7. If you pull again, you should get "Already up to date." which means that you're good to go.

    Home assignment

    1. Discover global / regional / river basin food production and land use 

    Instructions:

    1. please develop your own research question
    2. produce one page (A4/A3; preferably landscape) with following structure: a) title; b) research question and short introduction; c) TABLES and 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)

    This weeks illustration typetables and histograms; include either one to the home assignment! See example charts under 'Visualisation guides and examples' -tab 

    Example research questions

    • How the cropland and pasture areas (and food production) have developed in relation to population?
    • Has the planetary boundary of landuse crossed in your study area, if so, when?
    • Is the food production adequate in your study area? If not, what kind of measures have been undertaking to reach it.
    • In which precipitation and/or temperature zones food production is concentrated in your study area?


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


    2. Mid-course feedback

    We would highly appreciate your feedback on how things are going with the course and how we could improve it. Please use few minutes and fill the questionary at the end of the section. We would appreciate if you could fill it!!


    Thursday workshop

    On Thursdays we have a workshop (see Schedule for location) in where you can get help on the home assignment. During the workshop, we'll give a short lecture on how to make nice tables to your report


    Illustrator video:

    Illustrator part 3 - tables (year 2021)



  • Theme lecture

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

    ppt with reply to feedback

    Prezi presentation of the water use


    Hands-on exercise

    For the hands-on exercise, we will provide you with a new demo script. In the beginning of the hands-on session, we will fetch the demo script together. However, you can pull the demo script (demo4_wateruse.rmd) already before the session and browse it through if you like (this is voluntary). If you'd like to watch a recap on how a git pull is performed, see the first workshop recording below.

    First week workshop recording

    We will go through the demo script step by step during the hands-on sessions. Again, the demo script contains few tasks marked with # TODO, which you can try filling in. We will provide model answers to all tasks after the demo session in another script.

    For potential use in your home assignments, we also provide a raster layer depicting the nature's water use (Data/wateruse/wateruse_nature_025dgr.tif). See details in the tab Supporting materials (R and Data).

    Written instructions on how to update course material are given below.

    1. Open your project from the wpcourse2022.Rproj file
    2. In RStudio, select Tools -> Shell


    3. Verify that the shell is in the wpcourse2022 folder. In Aalto VDI, the current directory of the shell is highlighted in yellow. If there's a cyan (main) tag after the path, the shell is in the correct directory. Changing directories can be done with the command cd path/to/directory.


    4. Commit any previous work according to the instructions in this video (note that the video is from 2021). The working tree should be clean as shown below. The output before the working tree can be "Your branch is XXX commits ahead of 'origin/master'" but that is expected and nothing special needs to be done for it.


    5. Type git pull into the shell and press enter.
    6. The shell pulls the changes from the version control system to your folder wpcourse2022.
    7. If you pull again, you should get "Already up to date." which means that you're good to go.

    Home assignment

    1. Discover water use patterns and trends in your study area 

    Instructions:

    1. please develop your own research question
    2. produce 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 - please note that from now on, innovative research questions and set up will result higher points

    • Irrigation water consumption trends vs cropland expansion
    • environmental flows compared to human induced water uses
    • trends in water use within different parts of a basin / trends in share of different water use sectors over time


    This weeks illustration typevector graphic map and '100% stacked bar graph'; include either one to the home assignment! See example charts under 'Visualisation guides and examples' -tab 

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


    2. Final presentation

    I have now opened the tab for the final presentation - please take a look. It would be good to start slowly thinking about the presentation and what you would like to present in it. 


    Thursday workshop

    On Thursdays we have a workshop (see Schedule for location) in where you can get help on the home assignment. During the workshop, we'll give a short introduction how to enhance vector maps in illustrator and a short demo on how to plot countries, rivers, and cities using Natural Earth Data directly in R.

    Video on the illustrator part 4 - vector maps (year 2021)



  • Theme lecture

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

    Prezi presentation of the water scarcity

    Weekly ppt


    Group work

    No need of Miro board this time


    Hands-on exercise

    For the hands-on exercise, we will provide you with a new demo script. In the beginning of the hands-on session, we will fetch the demo script together. However, you can pull the demo script (demo5_water_scarcity.rmd) already before the session and browse it through if you like (this is voluntary). If you'd like to watch a recap on how a git pull is performed, see the first workshop recording below (see Theme 4 for written instructions).

    First week workshop recording

    We will go through the demo script step by step during the hands-on sessions. Again, the demo script contains few tasks marked with # TODO, which you can try filling in. We will provide model answers to all tasks after the demo session in another script (model5_water_scarcity.rmd).


    Home assignment

    Discover water scarcity trends in your study area 

    Instructions:

    1. please develop your own research question
    2. produce EITHER one page infographic (see Visualisation tab) OR 'tradional' one page poster (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)


    Graph types: stacked area graph (http://www.datavizcatalogue.com/methods/stacked_area_graph.html) or similar graph (such as trajectory) to illustrate changes over time

    Research ideas

    • water scarcity trajectory over time
    • drivers (i.e. water use sectors) of water scarcity over time


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

    Thursday workshop

    On Thursdays we have a workshop (see Schedule for location) in where you can get help on the home assignment. This week no specific Illustrator tutorial is given, but I can recap with the issues you would like to go back to / know more.

    Tutorial on how to resize text and graphs (from year 2021)


  • 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 demo script. All data was given already during the first week.

    In the beginning of the hands-on session, we will fetch the demo script together. However, you can pull the demo 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 workshop recording below.

    Video: pulling new changes (approx. 0:00-5:00)

    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  Wednesday workshop

    This week workshop will be on Wednesday (see Schedule for location) in where you can get help on the home assignment.

  • Guides to R and some of the most common packages

    • ggplot2 website containing full reference, cheatsheet, and links to tutorials (html)


    Git

    Quick Git guide and a cheatsheet

    During this course, we're applying only a fraction of Git features. If you want to dive further into using Git, see the guide above for a rather comprehensive quick-tutorial. While the use Git is not in the center in the learning outcomes of the course, it is a very valuable and useful tool to get a grip on.

    Support

    • The easiest is to google the command or task you want to do; there is lots of help in the web (including stackoverflow, various R mailing lists etc.).

    • R has a strong community around it since it's open source; most likely, someone else has had similar issues than you are having and has asked about it in some forums.

    • ?function (e.g. ?mean) in R console will open a help page.

    • Posting to Teams R script Q&A channel - optimally very efficient and enables learning together with your peers!

    • Naturally, the teachers will help you when needed

    Extra data related to the data introduced in hands-on sessions - all files are in data folder

    Week 1:

    • Historical runoff, precipitation and temperature data (Data/climate/historical and Data/runoff). Two-decade averages of monthly values for timesteps 1960-1979, 1980-1999, and 2000-2018 (2000-2014 for runoff).
    • Future precipitation and temperature data (Data/climate/future). Two-decade averages of 2041-2060; monthly and annual values for scenarios SSP1-RCP2.6 and SSP3-RCP7.0. More on SSPs & RCPs.


    Week 2:

    • Future total population for scenarios SSP1 and SSP3; years 2050 and 2100 (Data/population).
    • Built-up area defined as "artificial areas contiguously occupied by humans (therefore not including vegetative land cover and water, nor roads)", as fractions of cell area. See HYDE 3.1 for description.
    • Aridity class and aridity index (Data/misc). Thresholds from source Table 2.

    • Distance to nearest freshwater feature (dist2water; Data/misc)
    • Ground elevation (Data/misc)
    • Groundwater table depth, annual long-term average (Data/misc)


    Week 3:

    • Food supply (kcal/cap/d) in Data/food_prod/food_supply.xlsx. The food supply quantity presented here is based on a national balance of total food supply = production + imports - exports + changes in stocks for all food items in FAOSTAT. From the total supply, the shares of usage for feed, seed, manufacturing for both food and non-food products, and losses during storage and transportation are subtracted before finally yielding the total food supply available for human consumption. Hence, this food supply represents the amount of calories available for human consumption, but not necessarily the amount ending up consumed as retail and household losses are not accounted for.
    • BMI (body mass index) data from NCD-RisC (http://www.ncdrisc.org/) including mean BMI as well as share of population overweight and obese: Data/food_prod/NCD_RisC_Lancet_2017_BMI.xlsx.

    Week 4:

    • Nature's water use in Data/wateruse/wateruse_nature_025dgr.tif. This describes the water use of the environment; is based on allocating a certain amount of runoff for the use of the environment (environmental flow requirement, EFR). If the EFR is fulfilled, the riverine ecosystems assumed to be in a fair condition. The values are computed from long-term runoff (1970-2000) as annual averages using the variable monthly flow (VMF) method described in Pastor et al. (2014)


    Week 5:

    • No specific extra data for this week.


    Week 6:

    • No specific extra data for this week. Most of the indicators included in the demo code have one additional timestep, which can be taken advantage of.

  • Lecture 1 (water resources):

    References in the lecture (in order of appearance):


    Lecture 2 (population):


    References in the lecture (in order of appearance):

    Lecture 3 (food production):


    References in the lecture (in order of appearance):

    Lecture 4 (water use):


    References in the lecture (in order of appearance):

    Lecture 5 (water scarcity):


    References in the lecture (in order of appearance):
    Falkenmark et al (1989): https://doi.org/10.1111/j.1477-8947.1989.tb00348.x
    Rockström et al (2009): https://doi.org/10.1029/2007WR006767
    Kummu et al (2016): https://doi.org/10.1038/srep38495
    Wada et al (2011): https://doi.org/10.5194/hess-15-3785-2011
    Mekonnen and Hoekstra (2016): https://doi.org/10.1126/sciadv.1500323
    Gerten et al (2011): https://doi.org/10.1175/2011JHM1328.1
    Kummu et al (2014): https://doi.org/10.5194/hess-18-447-2014
    Seckler et al (1998): 
    https://www.researchgate.net/publication/254383595_World_water_demand_and_supply_1990_to_2025_scenarios_and_issues
    Sullivan et al (2003): https://doi.org/10.1111/1477‐8947.00054
    Ohlsson and Turton (1999): https://www.soas.ac.uk/water/publications/papers/file38362.pdf
    Rosa et al (2020): https://doi.org/10.1126/sciadv.aaz6031
    Liu et al (2017): https://doi.org/10.1002/2016EF000518


    Lecture 6 (socio-economic indicators):


    References in the lecture (in order of appearance):




  • Overall guides for different visualisation types


    Some tips for good poster design


    Specific guides 

    Week 1: Maps


    Week 2: Bar graphs & Scatter plots


    Week 3: Histograms and tables


    Table 1. Example table from the week's exercise, with the most important characteristics of the table highlighted. Table shows the countries with per capita food production larger than 10 000 kcal/cap/day.



    Week 4: Vector maps and 100% stack bar


    Week 5: Stacked area graph


    Week 5&6: Infographics





  • Not available unless: You belong to any group

    From below you can download the home assignment collections from each week:

    week 1: water resources

    week 2: population dynamics

    week 3: food production

    week 4: water use

    week 5: water scarcity

    week 6: socio-economic indicators



    And all the project work presentations:

    project work presentations

  • You can access to Adobe Illustrator similar way than using R via VDI connection (as explained in pre-assignment pdf, and repeated below):

    We will use the more powerful VDI service (MFAVDI) throughout the course: https://mfavdi.aalto.fi/ . The MFAVDI requires a two-step authentication from the user: 1) Aalto credentials and 2) your choice of the second authentication step (either Microsoft Authenticator app or text message).

    Video: Connecting to MFAVDI

    Computers at U351 (and in many other rooms provided), you can find Adobe products. Once you are logged in, find Adobe Illustrator and launch that. There users must sign in with an Adobe ID which have been created for all students. Thus, just use the Aalto e-mail and password.

    After that you are all set. You can move files between your own computer and these computers, you can use One Drive.