Description
Applications of Spatial Statistics is a comprehensive guide to understanding and implementing spatial statistical methods in real-world scientific research. The book covers fundamental concepts and advanced techniques for analyzing data that varies across geographic or physical space.
This resource is invaluable for researchers, statisticians, and scientists who work with spatially distributed data. It addresses key challenges in spatial analysis, including autocorrelation, kriging, and interpolation methods. The hardcover edition published in 2018 by InTech provides both theoretical foundations and practical applications.
Readers will gain insights into how spatial statistics can improve decision-making in environmental science, geology, agriculture, and other disciplines. The book bridges the gap between statistical theory and field applications, making it accessible to both practitioners and academics.
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