Exploration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques
ECoST-DATA, Bari, Italy, July 3-4, 2025
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Beschreibung
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.
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.
This book is open access, which means that you have free and unlimited access Provides innovative solutions for the analysis of modern spatiotemporal data Presents models to analyse air pollution data Discusses the chalenges of high-dimensional data
Autor*in
Sandra De Iaco
Themen in »Exploration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques«
Open Access space-time covariance models spatio-temporal multivariate analysis geostatistic spatial downscaling air quality index