Introduction

This folder serves as a comprehensive repository, structured into several subfolders, each fulfilling a specific role in facilitating the management and analysis of GHG emissions data. Below is an overview of what each subfolder contains:

bin

Contains the Jupyter Python script (in .ipynb format) for: a. Data cleaning, processing, and emissions calculation for each emissions sector (mobile emissions, electricity emissions, solid waste, other sources, urban forestry), as well as emissions forecasting. b. Emissions summary.

data

Contains raw and tidy data folder. Raw data refers to data downloaded directly from its sources. Tidy data refers to raw data that has been cleaned.

docs

Contains the GHG inventory and prediction model report.

figures

Contains visual representations that illustrate both the raw data and the results of calculations.

results

Presents the results of emissions calculations for each sector.

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