Spatial statistics for data science: theory and practice with R

Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.

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Bibliographic Details
Main Author: Moraga, Paula (Author)
Format: Electronic eBook
Language:English
Published: Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2023
Edition:First edition
Series:Chapman and Hall/CRC Data Science Series
Subjects:
Online Access:DE-188
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Summary:Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.
Item Description:Description based on publisher supplied metadata and other sources
Physical Description:1 Online-Ressource (xvii, 279 Seiten) Illustrationen, Diagramme, Karten
ISBN:9781032641522
9781003832331
DOI:10.1201/9781032641522

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