MapSwipe roads in Zimbabwe for MSF 1 #mapuj

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MapSwipe roads in Zimbabwe for MSF 1 #mapuj

Project overview

Swipe slowly through the satellite imagery and mark anything that looks like A CONNECTING ROAD. Please read carefully the part about roads in the TUTORIAL before you start swiping. Gutu District is a rural district in Zimbabwe where currently very little mapping on the road network has been done. The data you contribute will be of great help in the planning of movements and associated logistical decisions pertaining to vaccination campaigns, especially during the rainy season.

3539
km2
734
Contributors
Project Completion
93% completed
020406080100Oct 22, 17Feb 04, 18May 20, 18Sep 02, 18Dec 16, 18Apr 01, 19
Last updated: Dec 6, 2024, 11:15:03 PM

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
3.9 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
4.1 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
2.2 MB
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
3.4 MB
Download
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
csv
10.4 kB
Download
History
History
geojson
2.8 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
12.9 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
32.8 kB
Download
Area of Interest
This dataset contains information on the project region.
geojson
11.5 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.