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Spatial Data Modeling with Random Fields: A Practical Guide for Scientists and Engineers
$19.60
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- A comprehensive guide to spatial data modeling with random fields, covering both theoretical foundations and practical applications.
- Provides a step-by-step approach to building and fitting spatial models, with detailed examples and case studies.
- Includes coverage of advanced topics such as Bayesian inference, geostatistics, and machine learning for spatial data.
- Written by leading experts in the field, with a focus on making the material accessible to scientists and engineers with a variety of backgrounds.
- Ideal for researchers, practitioners, and students in fields such as environmental science, ecology, geology, and engineering.
Condition: New original from publisher
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