Pollen

Table of Contents

• About the Project
• Prerequisites
• Installation
• Usage
• Results
• Authors
• Acknowledgments

About The Project

Pollen is a project that aims at finding and understanding how pollen concentration is affected by weather. The main idea stands in the usage of Bayesian Networks that effectively explain out the relationships in the model. The dataset used is built thanks to information gathered from different sources such as POLLNET and ilMeteo for the city of Florence, Italy. In particular the following attributes are taken into consideration:

• Wind
• Wind Direction
• Temperature
• Pollen Concentration
• Precipitations

Check more in the Report HERE.

Prerequisites

To get a local copy up and running follow these simple steps.

The project provides a Pipfile file that can be managed with pipenv.
pipenv installation is strongly encouraged in order to avoid dependency/reproducibility problems.

• pipenv

pip install pipenv

Installation

1. Clone the repo

git clone https://github.com/CrisSherban/Pollen

2. Enter in the project directory and install Python dependencies

cd Pollen
pipenv install

Usage

Here's a brief description of the files and a directory tree:

* datasets      (directory for datasets ) 
* out           (directory containing output graphs )
* resources     (directory containing partial datasets and original files)
* src
    * creates_dataset.py: creates dataset from files in resources directory.
    * get_pol.py: selenium scraper that downloads pollen concentration from Pollnet.
    * network.ipynb: main file with documented outputs.

Output Network:

Results

We can appreciate that we can now understand from the model that mid/high temperature is linked with an incresed concentration of grass pollen.

Authors

• Serban Cristian Tudosie

Acknowledgments

FAIKR-3 © Course held by Professor Paolo Torroni