Format:
1 Online-Ressource (xvii, 810 Seiten) :
,
Diagramme.
ISBN:
978-1-4822-1021-7
Series Statement:
Chapman & Hall/CRC interdisciplinary statistics series
Content:
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
Content:
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
Content:
16. Replicated Point Patterns and Designed Experiments -- 17. Point Patterns on a Linear Network -- Index of Notation -- Bibliography -- Index -- Back Cover
Note:
Description based upon print version of record
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-1-4822-1020-0
Additional Edition:
ISBN 1-4822-1020-7
Language:
English
Subjects:
Computer Science
Keywords:
Räumliche Statistik
;
Datenanalyse
;
Modellierung
;
R
;
Räumliche Statistik
;
Datenanalyse
;
Modellierung
;
R
;
Electronic books
;
Electronic books
;
Electronic books