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This repository has been archived by the owner on Jun 2, 2023. It is now read-only.

This provides a demonstration for the paper "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". To ensure reproducibility the findings of the paper are demonstrated here.

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See detailed description an tutorial in jupyter/Demonstration.ipynb

This provides a demonstration for the paper "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". To ensure reproducibility the findings of the paper are demonstrated here.

Maps

Maps were created in QGIS. QGIS files and resp. data can be found in the "Maps" folder. It contains the qgis project file with the map layouts, as well as the geopackage file conaining the data. By opening the .qgz file in QGIS it is possible to access the maps for the paper via the print layouts.

Installation

For installation create a new anaconda environment with the provided .yml file. Direct into the directory of this readme file and run the following command:

    conda env create -f rapid_damage_assessment_installation.yml

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This provides a demonstration for the paper "Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake". To ensure reproducibility the findings of the paper are demonstrated here.

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  • Jupyter Notebook 64.1%
  • Python 35.9%