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28 changes: 14 additions & 14 deletions _toc.yml
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Expand Up @@ -8,23 +8,23 @@ options: # The options key will be applied to all chapters, but not sub-section
parts:
- caption: Module 1
chapters:
- file: content/Modul_1/en_module_1_overview.md
- file: content/Module_1/en_module_1_overview.md
sections:
- file: content/Modul_1/en_qgis_theorie.md
- file: content/Modul_1/en_qgis_installation.md
- file: content/Modul_1/en_qgis_start.md
- file: content/Modul_1/en_qgis_modul_1_exercises.md
- file: content/Module_1/en_qgis_theorie.md
- file: content/Module_1/en_qgis_installation.md
- file: content/Module_1/en_qgis_start.md
- file: content/Module_1/en_qgis_module_1_exercises.md
- caption: Module 2
chapters:
- file: content/Modul_2/en_module_2_overview.md
sections:
- file: content/Modul_2/en_qgis_geodata_concept.md
- file: content/Modul_2/en_qgis_projections.md
- file: content/Modul_2/en_qgis_basic_data_processing.md
- file: content/Modul_2/en_qgis_attribute_table.md
- file: content/Modul_2/en_data_sources.md
- file: content/Modul_2/en_qgis_basemap.md
- file: content/Modul_2/en_qgis_modul_2_exercises.md
- file: content/Module_2/en_module_2_overview.md
sections:
- file: content/Module_2/en_qgis_geodata_concept.md
- file: content/Module_2/en_qgis_projections.md
- file: content/Module_2/en_qgis_geodata_management.md
- file: content/Module_2/en_qgis_attribute_table.md
- file: content/Module_2/en_data_sources.md
- file: content/Module_2/en_qgis_basemap.md
- file: content/Module_2/en_qgis_module_2_exercises.md
- caption: Module 3
chapters:
- file: content/Modul_3/en_module_3_overview.md
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1 change: 1 addition & 0 deletions content/Modul_3/en_module_3_overview.md
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| __[Chapter 4: Georeferencing](/content/Modul_3/en_qgis_georeferencing.md)__ | At the end of this chapter, you should: Know how to georeference a map in QGIS; know how to set the transparency of a georeferenced (raster) layer; Know how to digitise vector features from a georeferenced map. |
| __[Exercises for Module 3](/content/Modul_3/en_qgis_modul_3_exercises.md)__ | Here, you can find all the exercises for module 3. |


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# Geodata Classification Exercise 2: Map of food insecurity in Sierra Leone
# Exercise 2 (Geodata Classification): Map of food insecurity in Sierra Leone


## Characteristics of the exercise
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# Selection and Queries Exercise 1
# Exercise 3: Data queries

__🔙[Back to Homepage](/content/intro.md)__

Expand All @@ -24,7 +24,7 @@ Download all the datasets [here](), save the folder on your computer, and unzip
- `GF2_20231123_FloodExtent_BeledweyneCity_HiraanRegion.shp`: This shapefile illustrates satellite-detected surface waters in Beledweyne City, Beledweyne District, Hiraan Region, Somalia, on 12th of November 2023 at 07:32 UTC. The data is also available on [HDX](https://data.humdata.org/dataset/water-extent-in-beledweyne-city-beledweyne-district-hiraan-region-somalia-12-november-2023).
- `Buildings_Belete_Weyne.geojson`: This dataset is downloaded using [HOT Export Tool](https://export.hotosm.org/v3/exports/new/describe) and contains information about buildings in the Beledweyne district.

The folder is called **Modul_3_Exercise_1_Queries_Somalia** and contains the entire [standard folder structure](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#standard-folder-structure) with all data in the input folder.
The folder is called **Module_3_Exercise_1_Queries_Somalia** and contains the entire [standard folder structure](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#standard-folder-structure) with all data in the input folder.

``` {Note}
The naming of the districts and states is not consistent across the different datasets. You will find different spellings for the district name **Beledweyne** which we will be focusing on. Other spellings might be **Belet Weyne** or **Belete Weyne**.
Expand All @@ -33,7 +33,7 @@ The naming of the districts and states is not consistent across the different da
## Tasks
1. Open QGIS and create a [new project](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#step-by-step-setting-up-a-new-qgis-project-from-scratch) by clicking on `Project` --> `New`.

2. Once the project is created, [save the project](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#save) in the **project folder** of the exercise **Modul_3_Exercise_1_Queries_Somalia**. To do that click on `Project` --> `Save as` and navigate to the folder. Name the project **Somalia_flood_affected_Beledweyne_2023**.
2. Once the project is created, [save the project](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#save) in the **project folder** of the exercise **Module_3_Exercise_1_Queries_Somalia**. To do that click on `Project` --> `Save as` and navigate to the folder. Name the project **Somalia_flood_affected_Beledweyne_2023**.

3. To load the following files into your project, drag and drop them ([Wiki Video](/content/Wiki/en_qgis_import_geodata_wiki.md#open-vector-data-via-drag-and-drop)). Or click on `Layer` --> `Add Layer` --> `Add Vector Layer`. Click on the three points ![](/fig/Three_points.png) and navigate to the file. Select the file and click `Open`. Back in QGIS click `Add` ([Wiki Video](/content/Wiki/en_qgis_import_geodata_wiki.md#open-vector-data-via-layer-tab)).
- `som_admbnda_adm2_ocha_20230308.shp`
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# Digitisation Exercise 2: Access to financial institutions
# Exercise 1 (Digitisation): Access to financial institutions


## Characteristics of the exercise
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# Exercise: Nigeria Floods
# Exercise 4: Nigeria Floods

__🔙[Back to Homepage](/content/intro.md)__

Expand Down Expand Up @@ -89,8 +89,8 @@ __Wrap up:__


## Data sources
Download the data folder [here](hhttps://nexus.heigit.org/repository/gis-training-resource-center/Module_3/Exercise_1/Module_3_Exercise_1_Flood_Nigeria.zip) and save it on your PC. Unzip the .zip file.
The folder is called “Modul_3_Exercise_1_Flood_Nigeria" and contains the entire [standard folder structure](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#standard-folder-structure) with all data in the input folder and the additional documentation in the documentation folder.
Download the data folder [here](https://nexus.heigit.org/repository/gis-training-resource-center/Module_3/Exercise_1/Module_3_Exercise_1_Flood_Nigeria.zip) and save it on your PC. Unzip the .zip file.
The folder is called “Module_3_Exercise_1_Flood_Nigeria" and contains the entire [standard folder structure](/content/Wiki/en_qgis_projects_folder_structure_wiki.md#standard-folder-structure) with all data in the input folder and the additional documentation in the documentation folder.

* [Nigeria: Administrative Division with Aggregated Population ("kontur_boundaries_NG_20230628.gpkg")](https://data.humdata.org/dataset/kontur-boundaries-nigeria)-Kontor
* [Nigeria : Flood data (“Nigeria_flood_2022_affacted_population”) ](https://data.humdata.org/dataset/nigeria-nema-flood-affected-geographical-areasnorth-east-nigeria-flood-affected-geographical-areas)- UN OCHA. This dataset was manipulated for training purposes.
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# Exercise: Larkana Flood response
# Exercise 5: Larkana Flood response
__🔙[Back to Homepage](/content/intro.md)__

:::{card}
:link: https://giscience.github.io/gis-training-resource-center/content/Modul_3/en_qgis_modul_3_exercises.html
:link: https://giscience.github.io/gis-training-resource-center/content/Module_3/en_qgis_module_3_exercises.html
__Click here to return to the exercise overview page for module 3__
:::
::::{grid} 2
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# Exercise: Sava Flood response
# Exercise 6: Sava Flood response
__🔙[Back to Homepage](/content/intro.md)__

:::{card}
:link: https://giscience.github.io/gis-training-resource-center/content/Modul_3/en_qgis_modul_3_exercises.html
:link: https://giscience.github.io/gis-training-resource-center/content/Module_3/en_qgis_module_3_exercises.html
__Click here to return to the exercise overview page for module 3__
:::
::::{grid} 2
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# Exercises for Module 3

__🔙[Back to Homepage](/content/intro.md)__

These exercises cover all the content in Module 3.


| Exercise| Description |Focus Group|Estimated time|
| :-------------------- | :----------------- |:----------------- |:----------------- |
| __[Exercise 1: Digitisation](/content/Module_3/en_qgis_digitalisation_ex.md):__ | The objective of this exercise is to learn how to digitise points, lines, and polygons of real world objects in a settlements by creating a new dataset. The goal is to create data about the access to financial institutions in Abuja. | QGIS essentials, Knowledge about the QGIS interface and how QGIS handles geodata is required | 3 hours |
| __[Exercise 2: Classification](/content/Module_3/en_qgis_classification_ex.md)__ | The objective of this exercise is to create an overview map of the prevalence of stunting in Sierra Leone at district level. To do this, we will visualise both the prevalence of stunting and key infrastructure such as hospitals, airports, and roads by classifying the data. The decision on which data to visualise and how to present it is up to you, the cartographer. | QGIS essentials; A basic understanding of Geodata and the attribute table is required. | 3 hours |
| __[Exercise 3: Data queries](/content/Module_3/en_qgis_data_queries_ex.md)__ | The aim of this exercise is to learn how to select and extract geofeatures using different methods in QGIS (extract by location, extract by attributes, and extract by expression) | QGIS essentials, knowledge about geodata formats and the QGIS is required | 60 minutes |
| __[Exercise 4: Flood in Nigeria](/content/Module_3/en_qgis_module_3_ex4.md)__| The exercise evolves around the scenario visualizing the situation during the flood in 2022 in one state of Nigeria. You will work with administrative borders and population data from HDX. Furthermore, you will create your own geodata based on information from the field. In the end, you need to use categorised classification to visualize different datasets. | QGIS essentials, knowledge about the attribute table and different categorisation methods is required | 4 hours |
| __[Exercise 5: Larkana Flood response](/content/Module_3/en_qgis_module_3_ex5.md)__| In 2024, the provinces of Punjab, Sindh, and Balochistan in Pakistan experienced devastating floods due to intense and prolonged rainfall. The following analysis will utilize actual data from this natural disaster. The objective is to pinpoint the specific medical centers and healthcare facilities that were impacted by the flooding. Additionally, we will assess the viability of road access to the city of Larkana throughout the flood period. | QGIS essentials | 3 hours |
| __[Exercise 6: Sava Flood response](/content/Module_3/en_qgis_module_3_ex6_madagascar.md)__ |In 2024, the north and northeast of Madagascar was hit by the Tropical Cyclone Gamane on the 27th of March. The following analysis will utilize actual data from this natural disaster. The objective is to pinpoint the specific medical centers and healthcare facilities that were impacted by the flooding. Additionally, we will assess the viability of road access to the populated places. | QGIS essentials | 3 hours |
| __[Exercise 7: Georeferencing](/content/Module_3/en_module_3_ex_7_georeferencing.md)__ | The aim of this exercise is to learn how to georeference a map. In many cases, (governmental) institution might only publish data or maps in a pdf format. However, by georeferencing the map, we can import the map as a raster dataset into our QGIS-project. After that, we can either use it to digitise vector features, or use the raster values in raster data analysis. | QGIS Essentials | ~90 minutes |
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Expand Up @@ -578,7 +578,7 @@ __Administrative 2 Boundaries (Regions)__
``````

```{Attention}
Remember the [layer concept](/content/Modul_2/en_qgis_geodata_concept.md) and make sure the basemap layer is at the bottom of your layers panel.
Remember the [layer concept](/content/Module_2/en_qgis_geodata_concept.md) and make sure the basemap layer is at the bottom of your layers panel.
```

### Step 11: Making print map
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Expand Up @@ -64,7 +64,7 @@ In this short follow along exercise, we will add the population data to the admi
1. Download the necessary layers [here](https://nexus.heigit.org/repository/gis-training-resource-center/Module_5/non_spatial_join/non_spatial_join.zip), unzip them, and add them to your QGIS-project.

```{tip}
The population layer needs to be [added as a delimited text layer](https://giscience.github.io/gis-training-resource-center/content/Modul_2/en_qgis_geodata_concept.html#delimited-text-import-csv-txt) (`Layer` > `Add Layer` > ) with no geometry.
The population layer needs to be [added as a delimited text layer](https://giscience.github.io/gis-training-resource-center/content/Module_2/en_qgis_geodata_concept.html#delimited-text-import-csv-txt) (`Layer` > `Add Layer` > ) with no geometry.
```

2. Open the "Join Attributes by Field Value"-tool from the processing toolbox
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Expand Up @@ -527,7 +527,7 @@ If...
- Your layer(s) don't show up
- Layers look odd ‒ e.g. squashed
- Error message "using degrees" when using distances (as shown in {numref}`dist_degree_error_message`)
... it might be a [projection](https://giscience.github.io/gis-training-resource-center/content/Modul_2/en_qgis_projections.html) issue.
... it might be a [projection](https://giscience.github.io/gis-training-resource-center/content/Module_2/en_qgis_projections.html) issue.
To solve it, try...
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