Spatial Point Patterns: Methodology and Applications with R (Chapman & Hall/CRC Interdisciplinary Statistics)
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Spatial Point Patterns: Methodology and Applications with R (Chapman & Hall/CRC Interdisciplinary Statistics)

by Adrian Baddeley, Ege Rubak, Rolf Turner

Mathematics statistics geospatial analysis
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This book explores the methodology of spatial point patterns and demonstrates applications with R. It offers an interdisciplinary statistics perspective for readers interested in understanding, analyzing, and working with spatial point data through statistical concepts and computational practice.

About This Book

Spatial Point Patterns presents statistical methodology for studying spatial point patterns, with applications using R.

The book connects theoretical concepts with practical data analysis, making it relevant to readers working with spatial statistical methods.

Its focus on R supports computational exploration and implementation alongside the underlying statistical material.

Designed for an interdisciplinary statistics audience, this title is suitable for study, reference, and applied research involving spatial data.

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I will be using this book for: