Environmental Modelling with Contemporary Statistics : Learning, Directionality, and Space-Time Dynamics

Environmental Modelling with Contemporary Statistics: Learning, Directionality, and Space-Time Dynamics

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Environmental Modelling with Contemporary Statistics : Learning, Directionality, and Space-Time Dynamics

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Environmental Modelling with Contemporary Statistics: Learning, Directionality, and Space-Time Dynamics

Overall Rating: 2.4 / 5 (average from multiple review sources, as of 24 Apr 2026)
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This title will be released on June 17, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Environmental Modelling with Contemporary Statistics : Learning, Directionality, and Space-Time Dynamics

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This book places an emphasis upon statistical methodology, data interpretation, and futureproofing with the intention of advancing statistics for the environment, ecology, and environmental health, in addition to environmental theory and practice, via the application of reliable statistics. With a focus on advances in statistical methodology and application within the environmental sciences, the overarching purpose of this volume is to illuminate current trends, stimulate a focus on, and connect multidisciplinary domains originating from and within statistical analysis, development, and research.Given that the contributions consist of current improvements and new innovations in climate and environmental science research that are based on statistical theory, researchers can derive inspiration for future advancements or similar analyses on other environmental data. Authored by internationally renowned scholars, this book is organized into three parts: Part I on Supervised and Unsupervise
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