This repository provides a web interface to facilitate the collection of comparative judgements on geospatial datasets to be processed with the Bayesian Spatial Bradley--Terry model BSBT - https://github.com/rowlandseymour/BSBT). In only a couple of minutes, it lets you deploy a web interface to collect comparative judgements by simply requiring a Shapefile containing the regions of interests (i.e. to be compared) as input. The results are stored in an SQLite database which can then be directly processed using the BSBT package to obtain a ranking.

You can install the BSBT-Interface using the following commands:

git clone https://github.com/BPerrat/BSBT-Interface.git
cd BSBT-Interface
python3 -m venv venv
source venv/bin/activate
pip install -r website/requirements.txt

This is the only setup step required to define the regions of interest. The script prepare_website.py streamlines the process and can be called as follow:

python3 prepare_website.py <your_shapefile.shp>

You will be asked to first select which column in the Shapefile should be used as a unique identifier for your regions and secondly to select which column you wish to use to name your regions. In both cases, only suitable candidates are displayed (i.e. if a column doesn't uniquely identify each entry of the shapefile, it will not be candidate).

The script will then:

1. Regionalize (cluster) your regions for a pre-filtering stage if your dataset is large
2. Create images for each region displaying their extent on top of a map
3. Setup the database that will then be used to store the comparative judgements and eventually be passed to the BSBT model.

Once the script has run, it should have populated the folder website/static/maps with images and the database comparative_judgements.db in the root project folder.

You can run the interface using the following commands:

export FLASK_APP=website
flask run

If you are likely to experience significant traffic, it is recommended to move away from Flask's built-in webserver (called with flask run) towards a production WSGI server such as Gunicorn.

Once data collection is completed, the comparative judgements can be processed using the BSBT package in a seamless way.