Topic outline

  • Welcome to Water and People course!


    Schedule and other practicalities

    The course started on Tue 16th of April 2019 at 12:30; see more details in 'Schedule & practicalities' tab on the left. 


    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.  


    Please note

    1. Tuesdays' lecture-training sessions are compulsory and student need to attend to minimum five out of six of them, in order to pass the course.

    2. Due to the two public holidays, one lecture will most probably be held on another day, we'll agree on this during the first lecture - see schedule for more details


    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. 


    Course schedule:

    WeekLecture date
    Tue at 
    12:30-14:00 @ U401a

    14:15-16:15 @ U351 
    (Otakaari 1) 

    ThemeWorkshop date
    Thu at 9:15-11:00 
    U256 (Otakaari 1)

    Home assignment
    due
    Mondays by 23:55
    16Tue 16.4.20181. Global water resources; 
      + Introduction to the course
    Thu 18.4.2018Mon 22.4.2018
    17Tue 23.4.2. Population dynamics
      + project work kick-off
    Thu 25.4.Mon 30.4.
    18** Mon 29.4. (note the date!)3. Land cover change and food productionThu 2.4Mon 6.5.
    19Tue 7.5.4. Water use

    Thu 9.5. @Y344

    Mon 13.5.
    20Tue 14.5.5. Water scarcityThu 16.5. Mon 20.5.
    21Tue 21.5.6. Socio-economics of water and foodThu 23.5.Wed 29.5.
    22Tue 28.5. Project presentation  - 
    you can decide within the small groups 
    when is the best time for you to present; 
    presentation session takes around 3 hrs. 
    --

    ** note the change in date; same classrooms for lecture and hands-on training
     



    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 lecture-exercise sessions (1/5), home assignments (2/5), individual project work (2/5). Please see the introductory ppt 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. 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


    Classrooms with Adobe Illustrator: 

    please follow this link for an up-to-date list (classrooms with Adobe CC Full or Adobe CC Small have Illustrator on their computers). 



  • Not available unless: You belong to A01 (Oodi)

    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! 


    OpisnroPointsGrade
    3169851234
    4736081405
    4751981475
    4755831344
    4764141304
    4780141224
    4793011445
    5267911455
    5275091375
    5297561475
    5304441284
    5495741505
    6265071485
    7038991344
    7178431505
    7184731515
    7188131415
    7552031385
    7552581465
    1402101224


    Maximum points are 150 (+ 6 from workshops), and thresholds for the grades follow:

    1: 75p (50% of total points)     2: 90p (60%)   3: 105p (70%)     4: 120p (80%)     5: 135p (90% of total points)


  • Not available unless: You belong to A01 (Oodi)

    Few things about the project work

    • form: 15 min presentation to your group
    • 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

    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:

    https://doodle.com/poll/vf472qukeyqnpnvb


    Peer-groups

    You can find the peer groups for the project work presentations below:


    GroupMembersPresentation time     
    at Tue 28.5

    Place

    @ Harald Herlin Learning centre, Otaniemi

    AmericasSami, Sanni, Elina, Sanna
    14:30-17:00Ilmari (106)
    Northern latitudes(Enni), Tobias, Nora, Oula12:00-14:30Eetu (213)
    Southern AfricaHenna, Marika, Johannes W, Maiju     12:00-14:30Aslak (214)
    Middle East & Asia      Markus, Aino, Niina, Lauri12:00-14:30Ilmari (106)
    Africa & S AmericaFranca, Inkeri, Johannes P, Aleksi 09:30-12:00Ilmari (106)

    (people in brackets will present later)


    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 venue at least 15 minutes before the presentations start


    Project work presentations

    You can download all the project work presentations from below:

    presentations_2019.zip

  • 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 of water resources (opens in a new window)


    Hands-on training

    The following material is used in the hands-on training session with the lecture. Please download the files to your computer.

    ------- instructions ---------

    1. Start RStudio
    2. Select File -> New Project -> Version Control -> Git
    3. Give URL https://version.aalto.fi/gitlab/wdrg/wp-course-exercises
    4. In the third (bottom) field give a directory under your network home directory, not on the local computer!
    5. We will start working on the file lecture1.Rmd

    The quick reference guide below has the basics of R in terms of variable assignment and some simple data structures. It is helpful if you have no experience in R and as a cheatsheet for later use.

    Quick reference guide - Hands-on session 1 

    Throughout the course, we will be using Aalto Version version control service to distribute the exercise material. No special logins are required in Aalto Version.

    You can get the completed script demo1.Rmd by following these steps:

    1. In RStudio, while working with your project select Tools -> Shell
    2. Check that you are in the wp-course-exercises folder: using Windows shell, the path is highlighted in yellow and if there is a cyan (master) after the path, everything is correct and you can proceed to 4
    3. If you were not in the right folder, change the folder with a command cd path/to/folder. Useful commands are ls -l, which shows the contents of current folder, and cd -- (cd and two minus signs), which sets the current path to home folder (in Aalto computers, the home folder)
    4. Type the following command and press enter: git pull
    5. The shell pulls the changes from the version control system to your folder wp-course-exercises


    [new] Cut raster + updated basin data

    You can pull the updated basin data [basin_data_new.Rdata] as well as raster cut example script [crop_example.R] from GIT by following the instruction above (use git pull command). You can also download them from the link below:

    crop_raster_and_basin_data.zip


    [new] File not found -error - some of you experienced an error when reopening the project and then trying to load the data file. Error looks something like this: cannot open compressed file 'basin_data_new.Rdata', probable reason 'No such file or directory'. To pass this error, you need to set the working directory. If you see files of Theme 1 in bottom right corner, then just under this file tab, select More - Set As Working Directory, and you are good to go. 


    ------- code and data - save them to your computer ---------

    The code and data required for the first exercise are available also in the link below. 

    Code and data

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


    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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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:

    • How much does runoff vary over year by grid cells / large river basins? 
    • How large percentage of precipitation is turned to runoff? 
    • 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 folder Supporting materials (Data) in MyCourses you can find global monthly precipitation, temperature and runoff under climate change (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 assingment 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 project work

    Instructions: by using the selection tool below [the one with question mark], please choose the large river basin on which your individual project work will be concentrated on. Only one student per river basin is allowed. 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 project will be give within the second lecture.


    Thursday workshop

    On Thursdays we have a workshop at main building U265 in where you can get help on the home assignment and project work. At 9:30 (sharp - please come in time to have time to start computer etc), 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 introduction how you can use Illustrator in the case of raster maps:

    Illustrator lecture 1



  • 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 project work:

    Weekly ppt, including Project work introduction


    Hands-on exercise

    You can get the Theme 2 exercise from git by following instructions below: 

    1. Start RStudio
    2. If it did not start where you left (or you have done something else in the meanwhile), navigate to the exercise directory
    3. Tools -> Shell
    4. this command will make a "checkpoint" where you can come back: git commit -am "my changes after exercise 1"
    5. give command to retrieve new exercise and other changes: git pull

    New: demo for theme 2 is now available at git - you can pull it from there


    If you have edited some of the files (demoX.Rmd, lectureX.Rmd), git may complain that there is a conflict. This means that there are some changes in the repository (the "server copy") files on lines that you have modified, and git cannot determine what is what. It will look something like this:

    Auto-merging demo1.Rmd
    CONFLICT (content): Merge conflict in demo1.Rmd
    Automatic merge failed; fix conflicts and then commit the result.
    You will find markers with '>>>>>>>', '=======' and '<<<<<<<' in the conflicting files showing the changes in the files. You can either:
    1. edit the file and choose what to keep and what to delete
    2. save it
    3. start the git shell and give the command: git commit -m "conflict resolved"

    or if you know that your file or server version is ok and no changes need to be combined:

    1. start the git shell
    2. to keep your version (assuming the problematic file was demo1.Rmd): git checkout --ours demo1.Rmd
    3. to get the original version: git checkout --theirs demo1.Rmd


    Support data raster file includes:

    • land_05dgr: percentage of land area of each grid cell (%)
    • d2sea_05dgr: distance to coastal line (km)
    • dist2water_05dgr: distance to fresh water features (km)
    • dem_05dgr: elevation above sea level (m)
    • temperature_mean_05dgr: mean annual temperature (°C)
    • prec_annual_05dgr: mean annual precipitation (mm/yr)
    • runoff_annual_05dgr: mean annual runoff (mm/yr)


    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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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 (point scatter or line graph); include at least 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 at main building U265 in where you can get help on the home assignment and project work. At 9:30 (sharp - please come in time to have time to start computer etc), 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 related presentation can be downloaded here:

    illustrator_part2.pptx

    This week, we will also revisit cutting and plotting a specified basin or other area in a more convenient way! 

  • Theme lecture

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

    Prezi presentation of the food production

    Hands-on exercise

    You can get the Theme 3 exercise from git by following instructions below: 

    1. Start RStudio
    2. If it did not start where you left (or you have done something else in the meanwhile), navigate to the exercise directory
    3. Tools -> Shell
    4. this command will make a "checkpoint" where you can come back: git commit -am "my changes after exercise 2"
    5. give command to retrieve new exercise and other changes: git pull


    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) 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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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 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 measure have been udnertaking to reach it. 


    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 in by Fri 3rd of April. 


    Thursday workshop

    On Thursdays we have a workshop at main building U265 in where you can get help on the home assignment and project work. At 9:30 (sharp - please come in time to have time to start computer etc), we'll give a short lecture on how to make nice tables to your report

  • 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

    You can get the Theme 4 exercise from git by following instructions below: 

    1. Start RStudio
    2. If it did not start where you left (or you have done something else in the meanwhile), navigate to the exercise directory
    3. Tools -> Shell
    4. this command will make a "checkpoint" where you can come back: git commit -am "my changes after exercise 3"
    5. give command to retrieve new exercise and other changes: git pull

    Instructions on how to solve problems with new version of lecture 4

    On 9.5. workshop, we presented some changes to demo 4 due to basin_id:s being defined wrongly during the exercise. The changes made were done after line 206 (after extracting wu_electricity_basins):

    wu_domestic_basins$ID <- all_basins_shape$basin_id
    wu_irrigation_basins$ID <- all_basins_shape$basin_id
    wu_livestock_basins$ID <- all_basins_shape$basin_id
    wu_industry_basins$ID <- all_basins_shape$basin_id
    wu_electricity_basins$ID <- all_basins_shape$basin_id

    This was done to fix the basin ids to correspond with ids in all_basins_shape. Otherwise, using intermediate results after (e.g. water use by sectors) using selection by basin id would yield erroneous results. The changes are committed to wp-course-exercises git repository, which means that you can pull the changes from there, too.

    However if you encounter problems using git pull, the following steps need to be taken. The problems are caused by some minor whitespace changes in lecture files and they will be solved by removing those files. It is wise to copy the lecture files to another folder outside wp-course-exercises just in case. The problems with git can be solved by the following commands in shell:

    git pull

    git commit -am “commit changes to cause conflict”

    git pull

    rm ‘Theme 2/lecture2.Rmd’

    rm ‘Theme 4/lecture4.Rmd’ 

    git commit -am "removed problematic files"

    git pull

    The final command should return "Already up-to-date", and our changes are applied in the repository. The changes are available in demo4.Rmd.



    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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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
    • water use per capita of project area vs global average
    • environmental flows compared to human induced water uses
    • trends in share of different water use sectors over time


    Graph types:
     include either vector graphic map or '100% stacked bar graph' to home assignment. See example charts under 'Visualisation guides and examples' -tab 

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


    2. Project presentation

    I have now opened the tab for the project work - 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

    Note: workshop will be in room Y344! On Thursday we have a workshop in where you can get help on the home assignment and project work. Schedule is this week a bit different to previous ones, and is as follows:

    9:15 - 10:30 support to your home assignments

    10:30 - 11:00 short introduction how to enhance vector maps in illustrator

    11:00 -> support to your home assignment

  • Theme lecture

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

    Prezi presentation of the water scarcity


    Hands-on exercise

    You can get the Theme 5 exercise from git by following instructions below: 

    1. Start RStudio
    2. If it did not start where you left (or you have done something else in the meanwhile), navigate to the exercise directory
    3. Tools -> Shell
    4. this command will make a "checkpoint" where you can come back: git commit -am "my changes after exercise 4"
    5. give command to retrieve new exercise and other changes: git pull


    Home assignment

    Discover water scarcity trends in your study area 

    Instructions:

    1. please develop your own research question
    2. produce EITHER one page infographic 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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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
    • stress, shortage or both - implications?
    • comparison of project area water scarcity to other area or global trends


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

    Thursday workshop

    On Thursday we have a workshop at U256 (main building) in where you can get help on the home assignment and project work. Schedule will be as follows:

    9:15 - 9:30 support to your home assignments

    9:30 - 9:45 recap of the requested issues in Illustrator

    9:45 -> support to your home assignment

  • Theme lecture

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

    Prezi presentation of the socio-economics indicators

    power point presentation

    factsheet for group discussion


    Hands-on exercise

    You can get the Theme 6 exercise from git by following instructions below: 

    1. Start RStudio
    2. If it did not start where you left (or you have done something else in the meanwhile), navigate to the exercise directory
    3. Tools -> Shell
    4. this command will make a "checkpoint" where you can come back: git commit -am "my changes after exercise 5"
    5. give command to retrieve new exercise and other changes: git pull


    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 discussion forum of the course (tool below the text; teachers and other students will be answering to those questions); c) coming to Thursday workshop, or d) asking 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 year 1990 available from supporting material) Note: when you use 1990 data, please use the 5th and 95 percentiles from year 2015 when normalising and scaling the data, so that those are comparable

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


    Thursday workshop

    On Thursday we have a workshop at U256 (main building) in where you can get help on the home assignment and project work. Schedule will be as follows:

    9:15 - 9:30 support to your home assignments

    9:30 - 9:45 recap of the requested issues in Illustrator

    9:45 -> support to your home assignment

  • As a pre-assignment you are asked to do following tasks:

    1. Write a short essee of your expectations for the course by using the following questions as a guide: 
    - What are your expectations for this course? 
    - What would you like to get out of it? 
    - What are you anxious about? 
    - What are you excited about? 

    Please do not exceed 500 words but try to put together at least 250 words. 

    2. Bring the written assignment to the first lecture

    3. If you are not familiar with R, please do a tutorial for beginners at https://www.guru99.com/r-tutorial.html, and from there Introduction part. If you are familiar with R, you can choose another section from that web-page, if you feel that you need to rehearse a bit. Please note: there are also many other tutorials for beginners, please feel free to find the one that fits to you best. 

    You should be able to find R and RStudio from all the Aalto computers, and you can also install those to your own computer - see links in the 'Schedule and practicalities' tab. In the course you are also able to use either your own computer or the computers in the class room. 


    See you on coming Tuesday!

  • R


    Extra data


    Week 1:


    Week 3:

    • Food supply data from FAOSTAT (from http://faostat.fao.org): FoodSupplyKcal.xlsx
    • Food supply data (same as above) together with the production data: dom_food_prod_supply.xlsx
    • BMI (body mass index) data from NCD-RisC (http://www.ncdrisc.org/) including mean BMI as well as share of population overweight and obese: NCD_RisC_Lancet_2017_BMI.xlsx. This data and an example script are available in the git, see "/Supporting materials"
    • world cities - you can download them as follows: write the following code to your script. If you want less cities, change 'scale = 50' to 'scale = 110', and if you want more details, change it to 'scale = 10' (note: with scale = 10, it might be rather large file to download!). The script below is also in the git, pull and see  "/Supporting materials"

    install.packages("rnaturalearth")

    library(rnaturalearth)

    library(ggplot2)

    cities <- ne_download(scale = 50, type = "populated_places", category = "cultural", destdir = tempdir(), load = TRUE,

                          returnclass = "sf")

    ggplot() +   geom_sf(data = cities)


    With same package, you can also download many other global vector datasets such as roads, lakes, rivers, etc; please check page 9 at 

    https://cran.r-project.org/web/packages/rnaturalearth/rnaturalearth.pdf


    Week 5:

    Additional shapefiles. Includes those for continents, countries and large river basins (same data than provided for lecture 4): shp_files2.zip 



    Week 6:

    Same data that given in theme tab, but for year 1990:

    demo6_rasters_1990.Rdata

    governance_index_1990.xls


  • Lecture 6 (socio-economic indicators):

    References in the lecture (in order of appearance):
    TBA


    Lecture 5 (water scarcity):

    References in the lecture (in order of appearance):
    TBA


    Lecture 4 (water use):

    References in the lecture (in order of appearance):

    Lecture 3 (food production):

    References in the lecture (in order of appearance):

    Lecture 2 (population):

    References in the lecture (in order of appearance):


    Lecture 1 (water resources):

    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





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