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small fix + module 4 update
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2 changes: 1 addition & 1 deletion content/Modul_1/en_qgis_installation.md
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Expand Up @@ -4,7 +4,7 @@ __🔙[Back to Homepage](/content/intro.md)__

In this chapter, we will prepare the setup for the training. This includes installing QGIS, setting up a folder structure for all the data in the training, and how to manage the downloaded material. The first step will be to install QGIS. After that, we will set up a folder structure for the training, as well as go over a few steps to keep your data management clean.

## Quick guide QGIS 3.28 - installation and basic setup
## Quick guide QGIS 3.34.12 - installation and basic setup

[![QGIS 3.28 - installation and basic setup](/fig/image_QGIS_3.28_download.png)](https://www.youtube.com/watch?v=tSJMT96HsAo)

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206 changes: 145 additions & 61 deletions content/Modul_4/en_qgis_map_design_I.md
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Expand Up @@ -73,28 +73,122 @@ Visual perception varies from one person to the next according to various capabi
- Transcultural (green = nature, blue = water)
```

## Choropleth and Graduated Symbol Maps
## Using visual variables in cartography

Based on these visual variables, cartographers are able to interpret and communicate information crucial to
humanitarian operations. Choropleth and Graduated symbol maps are two common thematic map types used in humanitarian
work.
Based on these visual variables, cartographers are able to interpret and communicate
information crucial to humanitarian operations. Depending on the use case and the intended audience, you will use different stylings to communicate different data.
OpenStreetMap offers several map products: OSM Standard, Tracestack Topo, CyclOSM or the public transportation map, for example. The data behind the maps
is the same, but the styling is different. In each case, the cartographers had different goals in mind (e.g., for
the cycling map, show the safest biking routes, bike repair stations and resting places) and chose the styling accordingly.

::::{grid} 2

### __Choropleth Maps__
^^^
:::{grid-item}
```{figure} /fig/m4_OSM_Overviewmap_example.png
---
name: OSM_topo
width: 375 px
---
[OSM](https://www.openstreetmap.org) Standard
```
:::

A choropleth map is a type of map that shows data using colors or shading within specific geographic areas, like
countries, states, or counties. It helps to visualize data patterns or distributions across regions. For example, a
choropleth map could show population density, where darker shades indicate higher densities and lighter shades indicate
lower densities.
:::{grid-item}
```{figure} /fig/m4_OSM_bikemap.png
---
name: OSM_Radfahrerkarte
width: 375 px
---
OSM Cycling Map
```

:::
::::

In the following dropdowns, you will
find different examples of maps used in humanitarian work.

:::{admonition} Now it's your turn!
:class: tip

What type of symbolisation methods can you identify in these maps? What kind of information has been communicated in which way (e.g. information about infrastructure, natural landscapes, etc.)
What other methods to communicate information can you imagine or do you know? You can also show a map you encountered in your work or personal life.

You can also use maps from you encountered in your work or daily life.

::::

::::{dropdown} __Map Example 1__

```{figure} /fig/ET_Somali_Humanitarian_Access_Flooded_Areas_11152023_A4.png
---
name: map_example_ethiopia
width: 750 px
---
Flood affected areas and roads in the Somali Region, Ethiopia (Source: OCHA)
```

::::

::::{dropdown} __Map Example 2__

```{figure} /fig/proportional_circles_example.png
---
name: prop_circles_example
width: 500 px
---
Internally Displaced Persons (IDPs), 30 September 2024 (Soure: [UNHCR](https://reliefweb.int/map/sudan/regional-bureau-east-horn-africa-and-great-lakes-region-internally-displaced-persons-idps-30-september-2024)).
```

::::

::::{dropdown} __Map Example 3__

```{figure} /fig/choropleth_hum_example.png
---
name: hum_sit_monitoring_choro_example
width: 700 px
---
South Sudan: Humanitarian Situation Monitoring, April-May 2024 - Damaged shelters (Source: [REACH](https://repository.impact-initiatives.org/document/impact/897badb8/REACH_SSD_Map_HSM_AprilMay2024_DamagedShelters_June2024-1.pdf))
```

::::


::::{dropdown} __Map Example 4__

```{figure} /fig/en_m4_operational_overview_example.png
---
name: operational_overview_example
width: 650 px
---
Operational overview or response activity map (Source: [Shelter Cluster Vanuata](https://reliefweb.int/map/vanuatu/vanuatu-tropical-cyclone-lola-distribution-and-gap-map-malampa-13022024))
```

::::



### Choropleth & Graduated Symbol Maps

Choropleth and Graduated symbol maps are two common thematic map types used in humanitarian
work.

In essence:

- Data is divided into areas on the map.
- Colors or shades represent different values for each area.
- Easy to interpret – darker or more intense colors often mean higher values, and lighter colors mean lower values.

Choropleth maps are ideal for showing patterns over large areas but should be used carefully, as they don’t show exact
- Data is divided into areas on the map.
- __Choropleth maps__ are maps that show data using colors or shading within specific geographic areas, like
countries, states, or counties. It helps to visualize data patterns or distributions across regions. For example, a
choropleth map could show population density, where darker shades indicate higher densities and lighter shades indicate
lower densities.
- __Graduated Symbol maps__ use circles or other symbols of varying sizes to represent data values across
different locations. The larger the circle, the higher the data value it represents. This makes it useful for showing quantities or comparing values across different
points on a map.
- For choropleth maps, colours or shades represent different values for each area. Usually, the darker or more intense colour signifies higher values. The effectiveness of a choropleth map is dependent on the __colouring scheme__.
- Graduated symbols maps are created by changing the size of a symbol in relation to a value in the attribute table.

Choropleth maps and graduated symbol maps are ideal for showing patterns over large areas but should be used carefully, as they don’t show exact
values within each region, just an overall gradient or level of intensity and they are used in almost every application
of mapping and GIS.

Expand All @@ -110,29 +204,22 @@ __Use cases__:

__Humanitarian Action__

In humanitarian action, choropleth maps are used to:
In humanitarian action, choropleth maps or graduated symbol maps are used to:

- Identify vulnerable regions: Maps can show areas with high poverty rates, conflict, or disaster impact, helping responders prioritize regions most in need of aid.
- Track disease outbreaks: For instance, during an epidemic, choropleth maps can show areas with high infection rates, helping to direct medical resources and prevent further spread.
- Track disease outbreaks: For instance, during an epidemic, you can show areas with high infection rates, helping to direct medical resources and prevent further spread.
- Monitor food insecurity and famine risks: Maps that illustrate food scarcity help humanitarian organizations focus on regions where food aid is needed the most.

```{figure} /fig/choropleth_hum_example.png
---
name: hum_sit_monitoring_choro_example
width: 700 px
---
South Sudan: Humanitarian Situation Monitoring, April-May 2024 - Damaged shelters (Source: [REACH](https://repository.impact-initiatives.org/document/impact/897badb8/REACH_SSD_Map_HSM_AprilMay2024_DamagedShelters_June2024-1.pdf))
```

__Environmental Science__

- Show pollution levels: Choropleth maps can depict air or water quality across regions, helping to identify polluted areas.
- Show pollution levels: Depict air or water quality across regions, helping to identify polluted areas.
- Track deforestation: Maps highlighting forest coverage changes make it easy to spot deforestation trends.
- Climate impact: Regions prone to temperature rise or extreme weather can be highlighted to aid climate adaptation efforts.

__Public Health__

- Visualize health disparities: Choropleth maps can show regions with high rates of disease, poor access to healthcare, or varying vaccination rates.
- Visualize health disparities: Show regions with high rates of disease, poor access to healthcare, or varying vaccination rates.
- Resource allocation: Health authorities use these maps to allocate medical resources based on areas with higher health needs.

__Urban Planning and Infrastructure__
Expand All @@ -141,35 +228,11 @@ __Urban Planning and Infrastructure__
- Identify socioeconomic patterns: Urban planners use these maps to see income, employment, and education levels across neighborhoods.

---

<!--ALIGN THIS-->
Choropleth maps are usually created by [classifying](/content/Modul_3/en_qgis_data_classification.md) geodata into
distinct groups, either using categorised or graduated classification. The effectiveness of a choropleth map is
dependent on the __colouring scheme__.


### __Proportional Circles/Graduated Symbols Map__

Another very useful type of map in humanitarian action is the proportional circle or graduated symbol map. This type of
map uses circles of varying sizes to represent data values across different locations. The larger the circle, the
higher the data value it represents. This makes it useful for showing quantities or comparing values across different
points on a map.
distinct groups, either using categorised or graduated classification.


```{figure} /fig/proportional_circles_example.png
---
name: prop_circles_example
width: 500 px
---
Internally Displaced Persons (IDPs), 30 September 2024 (Soure: [UNHCR](https://reliefweb.int/map/sudan/regional-bureau-east-horn-africa-and-great-lakes-region-internally-displaced-persons-idps-30-september-2024)).
```

```{figure} /fig/proportional_circles_example_2.png
---
name: prop_circles_example_2
width: 450 px
---
Cholera cases in Malawi (Source [Paul Knight](https://learn-sims.org/geospatial/creating-a-proportional-circle-map-in-qgis/)).
```
<!--In the next chapter, we will go over how to achieve both symbolisation methods-->


# Symbology and styling
Expand All @@ -191,8 +254,6 @@ has it's own styling rules. These can range from simple (e.g. display line data
polygons) to more complex (e.g. differentiate between different types of roads, add complex fill-patterns to polygons,
or add SVG-symbols of varying sizes to ).

<!-- Vector and raster data is visualized differently in GIS-Software. -->


## Symbology

Expand All @@ -202,6 +263,8 @@ or add SVG-symbols of varying sizes to ).
- Symbology is applied to layers, but within the same layer we can assign multiple styles to features
- The symbology of a layer can be __changed based on one of the layer's attributes__.

<!--ADD: EXAMPLES OF DIFFERENT STYLING METHODS FOR SIMPLE GEODATA (e.g. houses in different colours, roads in different thickness or colous, points as point symbols or hospital symbols)-->

<!---- To Do: add different visualisation for different types of data (discrete vs. continuous values, insert image). For example the amount of rainfall/temperature is a continuous value.-->

## Colours
Expand Down Expand Up @@ -252,12 +315,14 @@ Single hue gradient on the left; Multiple hue gradient on the right.
```

```{tip}
The [Colourbrewer website](colorbrewer2.org) is a quick and useful tool to select and generate colour palettes for your use case.
The [Colourbrewer website](colorbrewer2.org) is a quick and useful tool to select and
generate colour palettes for your use case.
```

### Colourblindness

When choosing the colours, you have to keep in mind that colour gradients (especially diverging Red-Green gradients) can be hard or impossible to distinguish for people with colour blindness.
When choosing the colours, you have to keep in mind that colour gradients (especially
diverging Red-Green gradients) can be hard or impossible to distinguish for people with colour blindness.

``` {figure} ../../fig/Colour_Blindness.png
---
Expand All @@ -267,31 +332,50 @@ width: 750px
Different Colour schemes for the Colour Vision Impaired; Source: Jenny, Bernhard, and Nathaniel Vaughn Kelso. (2007). Color Design for the Color Vision Impaired. *Cartographic Perspectives*, no. 58 (September 1, 2007): 61-67. https://doi.org/10.14714/CP58.270
```


## Complex Maps

The different symbolisation methods discussed in this chapter can be combined in different ways to create sophisticated reports and maps. By combining several methods, you can communicate different phenomena intuitively to the reader. A classical example is a combination of a choropleth map (graduated colours) with a proportional circles map (see {numref}`bivariate_map_example_lebanon`).
The different symbolisation methods discussed in this chapter can be combined in
different ways to create sophisticated reports and maps. By combining several methods,
you can communicate different phenomena intuitively to the reader. A classical example
is a combination of a choropleth map (graduated colours) with a proportional circles map
(see {numref}`bivariate_map_example_lebanon`).

__Complex Map 1:__

```{figure} /fig/en_complex_map_lebanon.png
---
name: bivariate_map_example_lebanon
width: 550 px
---
A complex map using graduated colours and proportional circles (Source: [REACH Initiative](https://reliefweb.int/map/lebanon/lebanon-conflict-and-displacement-overview-30-september-2024))
A complex map using graduated colours and proportional circles (Source: [REACH](https://reliefweb.int/map/lebanon/lebanon-conflict-and-displacement-overview-30-september-2024))
```

__Complex Map 2:__

```{figure} /fig/en_complex_bivariate_map.png
---
name: complex_bivariate_map_example
width: 750 px
width: 550 px
---
A complex map combining layer styling and different visual variables to communicate a complex situation (Source: [SIMS](https://rcrcsims.org/portfolio/view/18))
A complex map combining layer styling and different visual variables to
communicate a complex situation (Source: [SIMS](https://rcrcsims.org/portfolio/view/18)).
```

__Complex Map 3:__

```{figure} /fig/en_complex_map_example_yemen.png
---
name: test_complex_map
width: 550 px
---
A complex map using graduated colours to signify flood depth as well as the flood hazard for IDP sites (Source: [REACH](https://reliefweb.int/map/yemen/flood-hazard-idp-sites-marib-governorate-flood-depth-model-january-2024-production-date-07-may-2024))
```

:::{admonition} Now it's your turn!
:class: tip
{numref}`bivariate_map_example_lebanon` and {numref}`complex_bivariate_map_example` both make use of graduated colours as well as graduated symbols. What other symbolisation principles can you detect on these maps?
{numref}`bivariate_map_example_lebanon`, {numref}`complex_bivariate_map_example` and {numref}`en_complex_map_example_yemen` make use of graduated colours as well as graduated symbols. What other symbolisation principles can you detect on these maps?
:::


Now that we have learned the different visual variables, and know how to use them to create complex maps, the next chapter [Symbology for Vector data](/content/Modul_4/en_qgis_styling_vector_data.md) will explain how to set up different symbolisation and styling methods in QGIS.
36 changes: 21 additions & 15 deletions content/Modul_4/en_qgis_map_design_I_ex1.md
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## Characteristics of the exercise

::::{grid} 2
:::{grid-item-card}

## Aim of the exercise
:::{card}
__Aim of the exercise__
^^^
The aim of this exercise is to create an overview map of Ghana with its subdistricts, main roads, settlements, as well
as hospitals. Such information can be of use in humanitarian work. The first part of the exercise will cover the
symbolisation of the data layers. The second part will focus on the design of the print layout.

The aim of this exercise is to create an overview map of Ghana with its subdistricts, main roads, settlements, as well as hospitals. Such information can be of use in humanitarian work. The first part of the exercise will cover the symbolisation of the data layers. The second part will focus on the design of the print layout.
:::

#### Type of trainings exercise:
::::{grid} 2
:::{grid-item-card}
__Type of trainings exercise:__
^^^

- This exercise can be used in online and presence training.
- It can be done as a follow-along exercise or individually as a self-study.

:::

:::{grid-item-card}
__These skills are relevant for:__
^^^

#### These skills are relevant for

- visualising geographic data
- creating maps to communicate information
- Visualising geographic data
- Understanding how QGIS visualises geodata
- Creating overview maps, creating situational reports

:::
::::

::::{grid} 2
:::{grid-item-card}
__Estimated time demand for the exercise__
^^^

#### Estimated time demand for the exercise.

- The exercise takes around 5 hours to complete, depending on the number of participants and trainers.
- The exercise takes around 3 hours to complete, depending on the number of participants and trainers.

:::

:::{grid-item-card}

## Relevant Wiki Articles
__Relevant Articles__
^^^

- [Visualisation](/content/Wiki/en_qgis_visualisation_wiki.md)
- [Module 4: Visualisation of Geodata](/content/Modul_4/en_qgis_map_design_I.md)
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