Special issue on modelling complex environmental data.

This document is a summary of a special issue of the journal Environmental & Ecological Statistics. The issue focuses on the statistical modeling of complex environmental data in space and time, addressing contemporary environmental challenges such as pollution, extreme events, and epidemiological crises. The collection includes articles on topics such as air quality and weather data retrieval, time-series alignment for greenhouse gas exchange rates, particulate prediction, traffic limitations policies for air quality, environmental indicators for asthma control, modeling attitudes towards climate change and pollution, weather prediction, studies of extreme events like wildfires and thunderstorms, epidemiological issues related to the environment, estimation of rare species counts, geospatial analysis and classification techniques, advancements in data analysis and processing, and the collaboration between statisticians and environmental scientists. The articles in this collection aim to provide scientific knowledge for sustainable environmental practices. [Extracted from the article]