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...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Chapman and Hall/CRC, an imprint of Taylor and Francis
2015.
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| Edición: | First edition |
| Colección: | Interdisciplinary statistics.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009644301306719 |
Tabla de Contenidos:
- Part I. BASICS
- ch 1. Introduction
- ch 2. Software Essentials
- ch 3. Collecting and Handling Point Pattern Data
- ch 4. Inspecting and Exploring Data
- ch 5. Point Process Methods
- Part II. EXPLORATORY DATA ANALYSIS
- ch 6. Intensity
- ch 7. Correlation
- ch 8. Spacing
- Part III. STATISTICAL INFERENCE
- ch 9. Poisson Models
- ch 10. Hypothesis Tests and Simulation Envelopes
- ch 11. Model Validation
- ch 12. Cluster and Cox Models
- ch 13. Gibbs Models
- ch 14. Patterns of Several Types of Points
- Part IV. ADDITIONAL STRUCTURE
- ch 15. Higher-Dimensional Spaces and Marks
- ch 16. Replicated Point Patterns and Designed Experiments
- ch 17. Point Patterns on a Linear Network.
