Titlebook: On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat; Fabian Guignard Book 2022 The Editor

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Advanced Exploratory Data Analysis,This chapter introduces some advanced EDA tools which can be applied to spatio-temporal data sets. They quantify and confirm some features of the wind speed data suggested by visualisation in the previous chapter and unveil hidden patterns.

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Conclusions, Perspectives and Recommendations,This concluding chapter summarises and underlines the main achievements of each research topic and presents some reflections on future research.

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On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Informat978-3-030-95231-0Series ISSN 2190-5053 Series E-ISSN 2190-5061

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https://doi.org/10.1007/978-3-030-95231-0Machine Learning; Deep Learning; Uncertainty Quantification; Model Variance; Artificial Neural Network; S