Titlebook: Semantic Kriging for Spatio-temporal Prediction; Shrutilipi Bhattacharjee,Soumya Kanti Ghosh,Jia Ch Book 2019 Springer Nature Singapore Pt

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Spatio-Temporal Reverse Semantic Kriging, mitigation of adverse climate change, etc. However, the spatio-temporal change in . distribution is not a trivial phenomena to be modeled as it often shows nonlinear behavior in the presence of different factors such as human impact to the ecosystem (e.g., anthropogenic activities, urbanization), c

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1860-949X K) and its variants, which facilitate different types of pre.This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific

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Book 2019atial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate.

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