Environmental Insights: Democratizing Access to Ambient Air Pollution
  Data and Predictive Analytics with an Open-Source Python Package
Liam J Berrisford Ronaldo Menezes
Ambient air pollution is a pervasive issue with wide-ranging effects on human
health, ecosystem vitality, and economic structures. Utilizing data on ambient
air pollution concentrations, researchers can perform comprehensive analyses to
uncover the multifaceted impacts of air pollution across society. To this end,
we introduce Environmental Insights, an open-source Python package designed to
democratize access to air pollution concentration data. This tool enables users
to easily retrieve historical air pollution data and employ a Machine Learning
model for forecasting potential future conditions. Moreover, Environmental
Insights includes a suite of tools aimed at facilitating the dissemination of
analytical findings and enhancing user engagement through dynamic
visualizations. This comprehensive approach ensures that the package caters to
the diverse needs of individuals looking to explore and understand air
pollution trends and their implications.