ForecastBrazilFire

This repository stored all resources to deploy our Forecasting subject's academic paper. You can view the jupyter notebook analysis via nbviewer

Project Structure

Below showing the details and purposes of some important files and folders in this project:

folder	description
data	Folder raw data (.csv) and shapefiles (.shp)
data/brazil-shapefile	Folder contains all shape files to plot map in the app.ipynb
maps	Folder contains all map outputs by app.ipynb
maps/*.png	Map outputs by Python
maps/magicksmap.gif	Animated Gif output by ImageMagick
TODO.md	Markdown contains all TODO tasks
app.ipynb	Main file that contains code for the analysis
environment.yml	Conda enviroment list
evaluation.csv	SARIMA results output from app.ipynb
testing.csv	Cleaned data to be testing on Microsoft Excel

Local Development

Below are some guidance for develop this project locally. Before that, there are some dependencies for Python you would need to install prior for any script execution.

Installation for ImageMagick

ImageMagick is needed to output the animated GIF. You can download it from thier official website

Package Installation for Python

Python3 is needed to execute app.ipynb. If you are using conda, you can install all the needed packages by running the following commands on project root:

conda env create -f environment.yml

This will create a new forecasting environment in Python and install all the dependencies needed in app.ipynb script (e.g. Geopandas).

Get Started with Analysis

After installed the environment, you need to activate it by running the following commands and open the Jupyter Notebook on the project root:

conda activate forecasting
jupyter notebook

License

MIT © 2019 Neoh HaiLiang