::::{grid} auto :::{grid-item-card} :class-card: sd-text-center sd-rounded-circle :link: https://giscience.github.io/gis-training-resource-center/english/content/en/intro.html {octicon}`home-fill;1.5em;sd-text-danger` ::: :::: # Exercise 2: Basic geodata processing ## Characteristics of the exercise :::{card} __Aim of this exercise:__ ^^^ The objective of this exercise is to get a feeling for geodata and start working with it. Understand the attribute table, sort it, select manually and export the selection, as well as load a basemap. ::: ::::{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__ ^^^ - QGIS Essentials - Navigating the QGIS-interface - Sorting and manipulating datasets through the attribute table - selecting the correct projections - performing basic and advanced spatial analyses ::: :::: ::::{grid} 2 :::{grid-item-card} __Estimated time demand for the exercise:__ ^^^ - The exercise takes around 1 hour to complete, depending on the number of participants and their familiarity with computer systems. ::: :::{grid-item-card} __Relevant Wiki articles:__ ^^^ * [QGIS Interface](https://giscience.github.io/gis-training-resource-center/english/content/en/Wiki/en_qgis_interface_wiki.html) * [Geodata Import in QGIS](https://giscience.github.io/gis-training-resource-center/english/content/en/Wiki/en_qgis_import_geodata_wiki.html) * [Layer Concept](https://giscience.github.io/gis-training-resource-center/english/content/en/Wiki/en_qgis_layer_concept_wiki.html) * [Attribute Table in QGIS](https://giscience.github.io/gis-training-resource-center/english/content/en/Wiki/en_qgis_attribute_table_wiki.md) * [Projections](https://giscience.github.io/gis-training-resource-center/english/content/en/Wiki/en_qgis_projections_wiki.html) ::: :::: ## Instructions for the trainers :::{dropdown} __Trainers Corner__ __Prepare the training:__ - Take the time to familiarise yourself with the exercise and the provided material. - Prepare a white-board. It can be either a physical whiteboard, a flip-chart, or a digital whiteboard (e.g. Miro board) where the participants can add their findings and questions. - Before starting the exercise, make sure everybody has installed QGIS and has downloaded __and unzipped__ the data folder. - Check out [How to do trainings?](https://giscience.github.io/gis-training-resource-center/english/content/en/Trainers_corner/en_how_to_training.html#how-to-do-trainings) for some general tips on training conduction __Conduct the training:__ __Introduction:__ - Introduce the idea and aim of the exercise. - Provide the download link and make sure everybody has unzipped the folder before beginning the tasks. __Follow-along:__ - Show and explain each step yourself at least twice and slow enough so everybody can see what you are doing, and follow along in their own QGIS-project. - Make sure that everybody is following along and doing the steps themselves by periodically asking if anybody needs help or if everybody is still following. - Be open and patient to every question or problem that might come up. Your participants are essentially multitasking by paying attention to your instructions and orienting themselves in their own QGIS-project. __Wrap up:__ - Leave time for any issues or questions concerning the tasks at the end of the exercise. - Leave some time for open questions. ::: ## Exercise ### Available Data :::{card} :link: https://nexus.heigit.org/repository/gis-training-resource-center/Module_2/Exercise_2/Module_2_Exercise_2_Basic_Geodata_Processing.zip __Download all datasets [here](https://nexus.heigit.org/repository/gis-training-resource-center/Module_2/Exercise_2/Module_2_Exercise_2_Basic_geodata_processing.zip), save the folder on your computer and unzip the file.__ ::: The zip folder includes: | Dataset name | Original title | Publisher | Downloaded from | | :-------------- | :----------------- |:----------------- |:----------------- | | `nigeria_populated_places.shp` | Nigeria Populated Places (OpenStreetMap Export) | Humanitarian OpenStreetMap Team (HOT) | [HDX](https://data.humdata.org/dataset/hotosm_nga_populated_places) | | `nigeria_boundaries.geojson` | | | | The shapefile for populated places contains __point data__ on human settlements in Nigeria, including cities, villages and others. The GeoJSON file for the boundaries of Nigeria contains information on the administrative boundaries at levels 2 and 4 with level 2 representing the whole country and level 4 being the states. :::{note} GeoJSON does not support multiple layers, so the polygons for the country boundaries and the states are merged into one layer __where the different polygons overlap__. ::: ### Tasks 1. Load both files into QGIS. 2. Add the OpenStreetMap basemap via the browser panel → `XYZ Tiles`. 3. Familiarise yourself with the data by opening the attribute table. Determine the location of the data and the type of information it contains. Understand the different columns and the data they contain in your attribute table and try to get an overview of which columns will be relevant and important for your analysis. 4. In the `nigeria_populated_places` layer, open the attribute table, select the feature for **Zuyel**, and zoom to the selected point. :::{Hint} The place starts with a *Z* so it might help to sort the `name` column in descending order. ::: 5. Export **Zuyel** as its own GeoPackage. Check the projection and choose an appropriate CRS. Name it `zuyel.gpkg`. :::{Note} As no calculations are involved, e.g. area, WGS84 (EPSG:4326) is a good choice. ::: 6. Repeat the steps for the layer `nigeria_boundaries.geojson` and only export the district in which **Zuyel** is located. Name it accordingly. To find the district use the ![](../../../fig/qgis_identify_features.png) `Identify Features` tool and then manually select the correct district in the attribute table. 7. Remove all the initial layers and then open the attribute table for each of your new layers and check that each layer only contains one feature. 8. Save your project. ### Result :::{figure} ../../../fig/en_result_geodata_processing_exercise.png --- width: 80% name: en_result_geodata_processing_exercise --- This is how your output could look like in the end :::