MapSwipe Analytics is a website that brings together everything related to MapSwipe projects. This includes a visualisation of the results (e.g. settlement layer), but also additional characteristics like agreement among volunteers, which is an important indicator for quality.
The purpose of this project is to create a display service for Mapswipe data inspired by OSM Show me the way. Feel free to use this service for your Mapathon or to get a look at examples of Mapswipe.
You can use this project as a base for your own tuturial for Maspwipe or other projects. You need a geojson as input file.
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.
In our project "DeepVGI", we study predictive analytics methods with remote sensing images, VGI, deep neural networks as well as other learning algorithms. It aims at deeply learning from satellite imageries with the supervision of such Volunteered Geographic Information.
This Website was created by Marcel Reinmuth, Benjamin Herfort and Michael Dollinger. Special Thanks go to Jess Cahill for the work on improving the design.
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).