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
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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 10 Mar 2026)
Based on a total of 46,572 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
Based on a total of 46,572 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
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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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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 organised in three parts with Part I on Supervised and Unsupervi
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