| Description |
1 online resource (830 pages) |
| Series |
Chapman & Hall/CRC Interdisciplinary Statistics |
|
Interdisciplinary statistics.
|
| Contents |
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. |
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16. Replicated Point Patterns and Designed Experiments17. Point Patterns on a Linear Network; Index of Notation; Bibliography; Index; Back Cover. |
| 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. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. |
| Subject |
Spatial analysis.
|
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Point processes.
|
|
Spatial data infrastructures -- Mathematics.
|
|
R.
|
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Processus ponctuels. |
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Infrastructures de données géospatiales -- Mathématiques. |
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Point processes |
| Added Author |
Rubak, Ege.
|
|
Turner, Rolf.
|
| Other Form: |
Print version: Baddeley, Adrian. Spatial Point Patterns : Methodology and Applications with R. Boca Raton : CRC Press, ©2015 9781482210200 |
| ISBN |
9781482210217 (electronic bk.) |
|
1482210215 (electronic bk.) |
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