Spatial point patterns: methodology and applications with R

Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data

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Bibliographic Details
Main Authors: Baddeley, Adrian 1955- (Author), Rubak, Ege (Author), Turner, Rolf (Author)
Format: Electronic eBook
Language:English
Published: Boka Raton ; London ; New York CRC Press, Taylor & Francis Group [2016]
Series:Chapman & Hall/CRC interdisciplinary statistics series
Subjects:
Online Access:DE-188
Summary:Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data
Front Cover -- Contents -- Preface -- Acknowledgements -- I. BASICS -- 1. Introduction -- 2. Software Essentials -- 3. Collecting and Handling Point Pattern Data -- 4. Inspecting and Exploring Data -- 5. Point Process Methods -- II. EXPLORATORY DATA ANALYSIS -- 6. Intensity -- 7. Correlation -- 8. Spacing -- III. STATISTICAL INFERENCE -- 9. Poisson Models -- 10. Hypothesis Tests and Simulation Envelopes -- 11. Model Validation -- 12. Cluster and Cox Models -- 13. Gibbs Models -- 14. Patterns of Several Types of Points -- IV. ADDITIONAL STRUCTURE -- 15. Higher-Dimensional Spaces and Marks
16. Replicated Point Patterns and Designed Experiments -- 17. Point Patterns on a Linear Network -- Index of Notation -- Bibliography -- Index -- Back Cover
Item Description:Description based upon print version of record
Physical Description:1 Online-Ressource (xvii, 810 Seiten) Diagramme
ISBN:9781482210217

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