Exploration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques : ECoST-DATA, Bari, Italy, July 3-4, 2025 (Springer Proceedings in Mathematics & Statistics)

This open access volume discusses advanced tools and techniques for the analysis and prediction of environmental variables with a spatial or spatio-temporal structure. In various environmental science applications, developing models that accurately describe the spatio-temporal evolution of key variables is essential for monitoring eco-sustainability. This book presents theoretical reviews on spatio-temporal covariance modeling, as well as innovative approaches for assessing environmental quality and its effects on climate change. These approaches integrate georeferenced data from multiple sources and apply novel methodologies for analyzing multivariate spatio-temporal data. This volume presents the scientific contributions presented at the Workshop “Exploration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques (ECoST-DATA)”, held at the University of Bari on July 3-4, 2025.