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Chapman and Hall/CRC Spatial Statistics for Data Science with R - Chapman & Hall/CRC

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Description

Improve decision-making across fields like health, ecology, urban planning, and the economy with Spatial Statistics for Data Science: Theory and Practice with R. This book from the Chapman & Hall/CRC Data Science Series provides a comprehensive overview of different spatial data types. It covers essential statistical methods, modeling approaches, and visualization techniques specifically designed for analysis using R. Readers gain a deep understanding of theoretical concepts through fully reproducible examples. These examples demonstrate how to simulate, describe, and analyze spatial data effectively. Whether you are working in environmental science or social studies, this text offers the practical tools needed to handle complex spatial datasets and turn them into actionable insights.

Key Features

Learn statistical methods and modeling approaches for spatial data using the R programming language.

Gain expertise in visualization techniques to effectively describe and analyze complex spatial datasets.

Access fully reproducible examples that demonstrate how to simulate and analyze spatial data in real-world scenarios.

Study a comprehensive overview of varying types of spatial data through the Chapman & Hall/CRC Data Science Series.

Apply theoretical concepts to diverse fields including environment, health, ecology, and urban planning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 December 2023
Listed Since
01 August 2023

Barcode

No barcode data available

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