Adrian Baddeley, Ege Rubak, Rolf Turner

Spatial Point Patterns (eBook, PDF)

Methodology and Applications with R

• Format: PDF

Produktbeschreibung

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 th

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 828
• Erscheinungstermin: 11. November 2015
• Englisch
• ISBN-13: 9781482210217
• Artikelnr.: 57077259

Autorenporträt

Adrian Baddeley is a professor of computational statistics at Curtin University and a fellow of the Australian Academy of Science. He has been a leading researcher in spatial statistics for 40 years.

Ege Rubak is an associate professor in the world-renowned spatial statistics group at Aalborg University. His research focuses on spatial statistics and statistical computing.

Rolf Turner is retired and an Honorary Research Fellow at the University of Auckland, where he has taught a graduate course on spatial point processes in the Department of Statistics. He has considerable expertise in statistical computing and has worked as a statistician in the Division of Mathematics and Statistics at CSIRO, the University of New Brunswick, and the Starpath Project at the University of Auckland.

Inhaltsangabe

BASICS: Introduction. Software Essentials. Collecting and Handling Point
Pattern Data. Inspecting and Exploring Data. Point Process Methods.
EXPLORATORY DATA ANALYSIS: Intensity. Correlation. Spacing. STATISTICAL
INFERENCE: Poisson Models. Hypothesis Tests and Simulation Envelopes. Model
Validation. Cluster and Cox Models. Gibbs Models. Patterns of Several Types
of Points. ADDITIONAL STRUCTURE: Higher-Dimensional Spaces and Marks.
Replicated Point Patterns and Designed Experiments. Point Patterns on a
Linear Network.