MapSwipe Processing

This project can help you to download processed data that is produced by volunteers using the MapSwipe App. We filter out unreliable answers and derive geometries that are ready to use in the HOT Tasking Manager.

Download Data:

We provide different datasets for downloading. See below for a more detailed description of each dataset. You can also have a look at the full data repository.

Examples:

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 one user indicated the presence of a building. The filter criteria and size of the tasks can be adapted on request. Download sample data.

Yes and Maybe Results:

This dataset contains all results where at least one mapswipe user submitted a yes or maybe classification. The output dataset depicts the union of all selected results. Download sample data.

Bad Imagery Results:

This dataset contains all results where at least one mapswipe user submitted a bad_image classification and no other classifications are more frequently submitted. The output dataset depicts the union of all selected results. Download sample data.

Raw Results:

Raw Result contain information on MapSwipe Tasks where at least one user submitted a results. If there are several results per task by different users, the individual results are aggregated. For each task a yes_count, maybe_count and bad_imagery_count is provided. However, there isn't a no_building_count per task. Download sample data.

Contact:

Heidelberg Institute for Geoinformation Technology
Department of Geography, Chair of GIScience
Heidelberg University, Germany

http://www.geog.uni-heidelberg.de/gis/heigit_en.html

Email:
info[at]mapswipe.heigit.org

This work has kindly been supported by the Klaus Tschira Foundation (KTS) Heidelberg in the context of establishing the Heidelberg Institute for Geoinformation Technology (HeiGIT).