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

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Baddeley, Adrian 1955- (VerfasserIn), Rubak, Ege (VerfasserIn), Turner, Rolf (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boka Raton ; London ; New York CRC Press, Taylor & Francis Group [2016]
Schriftenreihe:Chapman & Hall/CRC interdisciplinary statistics series
Schlagworte:
Online-Zugang:FUBA1
Zusammenfassung: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
Beschreibung:Description based upon print version of record
Beschreibung:1 Online-Ressource (xvii, 810 Seiten) Diagramme
ISBN:9781482210217

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand!