Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability

Description

Environmental informatics meets digital twins

Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability brings together selected research from the 34th EnviroInfo conference, presenting a snapshot of how ICT is being used to study, model, and support environmental sustainability. This is an edited proceedings volume, so readers should expect a range of focused papers rather than a single continuous argument. That breadth is part of its appeal: the book moves across environmental monitoring, modelling, big data, machine learning, smart agriculture, renewable energy, infrastructure optimisation, and citizen science.

The unifying idea is the use of digital twins and related data-driven methods to better understand complex socio-environmental systems. Instead of treating sustainability as a purely abstract policy goal, the chapters explore practical computational approaches for observing, simulating, and improving real-world environments.

What the volume covers

• earth observation and environmental monitoring
• environmental modelling and simulation
• big data and machine learning
• robotics and smart agriculture
• renewable energy and infrastructure optimisation
• sustainable industrial processes and citizen science

Who will find it useful?

This volume is best suited to researchers, doctoral students, and advanced practitioners working in environmental informatics, sustainability research, GIS, and ICT for environmental problem-solving. It will also be of interest to readers following the development of digital twins beyond manufacturing and urban systems, especially where environmental complexity is the central challenge.

A conference volume with a clear research focus

Because the book is drawn from EnviroInfo 2020, it has the energy of an active research field: multiple perspectives, current methods, and a strong applied orientation. If you are looking for a scholarly ebook that connects environmental science with computing, modelling, and sustainability innovation, this is a highly relevant title.