Exploration of spatio-temporal environmental conditions harmonized databases and analytical techniques : ECoST-DATA, Bari, Italy, July 3-4, 2025 Sandra De Iaco, Monica Palma, Donato Posa, editors

Format:

Book

Conference/Event

Contributor:

De Iaco, Sandra, editor.

Palma, Monica (Of Università del Salento), editor.

Posa, Donato, editor.

Conference Name:

ECoST-DATA (Workshop) (2025 : Bari, Italy)

Series:

Springer proceedings in mathematics & statistics ; v. 531.

Springer proceedings in mathematics & statistics 2194-1017 volume 531

Language:

English

Subjects (All):

Environmental monitoring--Statistical methods.

Spatial analysis (Statistics).

Time-series analysis.

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2025]

Summary:

"This 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"-- Springer Nature Link

Contents:

Covariance functions / Donato Posa

Spatiotemporal complex covariance functions for vectorial data / Sandra De Iaco

Non-separable covariance kernels for spatiotemporal Gaussian processes based on the hybrid spectral method / Dionissios T. Hristopulos

Stationary subspace analysis for spatiotemporal data / Jaakko Pere, Sandra De Iaco, and Klaus Nordhausen

Space turns to time : the advent of time series of remote sensing images / Alfred Stein

Ensemble smoother with multiple data assimilation for atmospheric dust source identification : a generic framework approach / J. Jaime Gómez-Hernández, Valeria Todaro, Marco D’Oria, and Maria Giovanna Tanda

Optimizing pollution control for an economic growth system / Vincenzo Capasso

Exploring functional structure and variation of Italian carbon emissions / Pierdomenico Duttilo and Tonio Di Battista

Ozone predictions through a generalized additive model / Abdollah Jalilian, Claudia Cappello, Monica Palma, and Sandra De Iaco

Characterization and forecasting of drought : geostatistical approaches / Miguel Gomes, Ana Castro, and Amilcar Soares

Using machine learning methods to explore the effects of environmental variables on biodiversity / Iman Masoumi, Amirhossein Najafabadipour, Sabrina Maggio, and Giuseppina Giungato

Modeling and prediction of ground-level ozone concentrations in a spatiotemporal multivariate context / Claudia Cappello, Klaus Nordhausen, and Monica Palma

Notes:

Includes bibliographical references

Online resource; title from PDF title page (Springer Nature Link, viewed July 6, 2026)

Other Format:

Print version ECoST-DATA (Workshop) (2025 : Bari, Italy) Exploration of spatio-temporal environmental conditions

ISBN:

9783032175267

3032175267

OCLC:

1602283307

Access Restriction:

Some versions Open access versions available from some providers open access