Rohingya Crisis (1)

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Finished

Kutupalong

Médecins Sans Frontières

Dec 21, 2019

Project overview

Feedback needed: New project type

Welcome to our new type of project to identify changes in locations over time. We're still working on everything but wanted to give you a sneak peak.

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• Use the tutorial to learn how to contribute

• Complete some tasks

• Use this form to tell us what you think.

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Project description

Kutupalong Camp site experienced a very large and fast influx of Rohingya refugees between 2017 and 2019. Since the beginning of the influx, Médecins Sans Frontières has scaled up their community based surveillance to monitor diseases, respond to outbreaks of diphtheria, and has been responding to the massive water and sanitation needs. Understanding the growth of the camp is essential for preparedness activities as it helps to identify areas and people most at risk.

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We want to test and show how MapSwipe could have helped in this situation. The results will be used to evaluate how the MapSwipe community can quickly identify changes in certain locations.

km²

599

Contributors

Project Completion

53% completed

Last updated: Jul 26, 2024, 12:10:20 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

0.5 MB

Download

Aggregated Results (with Geometry)

geojson

0.5 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

0.3 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

0.4 MB

Download

Groups

Groups. (Note that you need to unzip this .gz file before you can use it.)

csv

4.6 kB

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History

geojson

3 kB

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Results

This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)

csv

0.5 MB

Download

Tasks

Tasks. (Note that you need to unzip this .gz file before you can use it.)

csv

0.3 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

23.2 kB

Download

Area of Interest

This dataset contains information on the project region.

geojson

1.5 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.