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. Making the techniques access...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Baddeley, Adrian
Otros Autores: Rubak, Ege, Turner, Rolf
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, 2015.
Colección:Interdisciplinary statistics.
Temas:
Spatial analysis.
Point processes.
Spatial data infrastructures > Mathematics.
R.
Processus ponctuels.
Infrastructures de données géospatiales > Mathématiques.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Point processes
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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 Experiments17. Point Patterns on a Linear Network; Index of Notation; Bibliography; Index; Back Cover.

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