Spatial Point Patterns: Methodology and Applications with R

Couverture
CRC Press, 11 nov. 2015 - 828 pages
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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Table des matières

II EXPLORATORY DATA ANALYSIS
155
III STATISTICAL INFERENCE
297
IV ADDITIONAL STRUCTURE
635
Index of Notation
745
Bibliography
751
Index
791
Back Cover
811
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À propos de l'auteur (2015)

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.

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