This volume collects the scientific contributions presented at the Workshop “Explo- ration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques (ECoST-DATA)”, held at the University of Bari on July 3-4, 2025, as Satellite event of DUST 2025. It is a key result of the ECoST- DATA Project, funded by European Union – NextGenerationEU with the Cascade Open Calls published by ALMA MATER STUDIORUM – University of Bologna, inside the Project GRINS within the PNRR – Mission 4, Component 2, Investment 1.3 “Partnership extended to Universities, Research Centers, Firms and research projects funding”, D.D. 341 of 15/03/2022, CUP: J33C22002910001. The contents are dedicated to advanced tools and techniques for analyzing and predicting environmental variables with a spatial or spatio-temporal structure. In particular, they include theoretical reviews on spatio-temporal covariance modelling as well as innovative approaches for assessing environmental quality and its effects on climate change by integrating georeferenced data from multiple sources.

Exploration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques

De Iaco, Sandra;Palma, Monica;Posa, Donato
2025-01-01

Abstract

This volume collects the scientific contributions presented at the Workshop “Explo- ration of Spatio-Temporal Environmental Conditions: Harmonized Databases and Analytical Techniques (ECoST-DATA)”, held at the University of Bari on July 3-4, 2025, as Satellite event of DUST 2025. It is a key result of the ECoST- DATA Project, funded by European Union – NextGenerationEU with the Cascade Open Calls published by ALMA MATER STUDIORUM – University of Bologna, inside the Project GRINS within the PNRR – Mission 4, Component 2, Investment 1.3 “Partnership extended to Universities, Research Centers, Firms and research projects funding”, D.D. 341 of 15/03/2022, CUP: J33C22002910001. The contents are dedicated to advanced tools and techniques for analyzing and predicting environmental variables with a spatial or spatio-temporal structure. In particular, they include theoretical reviews on spatio-temporal covariance modelling as well as innovative approaches for assessing environmental quality and its effects on climate change by integrating georeferenced data from multiple sources.
2025
9783032175250
9783032175267
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/581386
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