Public Health (2)

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Finished
Lankien, South Sudan
Médecins Sans Frontières
Mar 14, 2022
Public Health (2)

Project overview

MSF teams are mapping villages and taking their names on the ground, but identifying all of the inhabited areas and counting the structures is much more efficient from aerial photos. Knowing where all of the villages are scattered through the savanna helps us to map them, and counting the buildings within each village gives us a quick and fairly accurate method to estimate population. This is important to help MSF understand the spread of disease and identify areas of highest need.

791
km2
164
Contributors
Project Completion
100% completed
020406080100Mar 15, 22Mar 15, 22Mar 15, 22Mar 16, 22Mar 16, 22Mar 17, 22
Last updated: Jul 19, 2024, 12:08:36 AM

Download the data

Below you'll find the data downloads for this MapSwipe project, including a GeoJSON file that can be imported into the HOT Tasking Manager for more detailed mapping of the area. If you need more information or if you have a special request related to MapSwipe data get in contact with the team at the Heidelberg Institute for Geoinformation Technology
Aggregated Results
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
csv
4.2 MB
Download
Aggregated Results (with Geometry)
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
geojson
4 MB
Download
HOT Tasking Manager Geometries
This dataset contains shapes that are ready to use in the HOT Tasking Manager. Currently, the geometries consist of maximum 15 MapSwipe Tasks, where at least 35% of all users indicated the presence of a building by classifying as "yes" or "maybe"
geojson
46.4 kB
Download
Moderate to High Agreement Yes Maybe Geometries
This dataset contains all results where at least 35% of users submitted a "yes" or "maybe" classification. The output dataset depicts the union of all selected results.
geojson
94.7 kB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
5.5 kB
Download
History
History
geojson
0.4 kB
Download
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
csv
2.8 MB
Download
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
csv
3.5 MB
Download
Users
This dataset contains information on the individual contributions per user. This tells you for instance the most active users of this project. (Note that you need to unzip this .gz file before you can use it.)
csv
6.9 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
0.4 kB
Download

Our license

This project is part of the OpenStreetMap community. The goal is high-quality geographical data, freely accessible and available to everyone. OSM’s reciprocal license protects the data from being appropriated by services that do not share back to OSM.

MapSwipe is released under a "liberal" non-reciprocal license (Creative Commons Attribution). Whenever you want to use the data, just make sure to credit the MapSwipe contributors.