Spatial Point Patterns: Methodology and Applications with R

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CRC Press, 11 nov. 2015 - 828 pages
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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
Droits d'auteur

Autres éditions - Tout afficher

Spatial Point Patterns: Methodology and Applications with R
Adrian Baddeley,Ege Rubak,Rolf Turner
Aucun aperçu disponible - 2015

Expressions et termes fréquents

alternative analysis applied approximately argument assume calculated called Chapter cluster column command completely computed conditional containing coordinates correction counts covariate data points dataset default defined density depends described distance distribution edge effect envelopes equal estimate example expected extract factor Figure fitted fitted model formula function Gibbs given gives homogeneous independent indicates inhomogeneous intensity intensity function interaction interpretation K-function likelihood linear locations marks mean measure method multitype names nearest number of points object object of class observed obtained original package parameters performed pixel plot point pattern point process point process model Poisson process possible probability quadrat random range realisation region regression represents residual result sampling scale shown shows significance simulated smoothing spatial spatstat specified square standard stationary statistical Strauss Table term trees trend true unit values variable vector window

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.

Informations bibliographiques

QR code for Spatial Point Patterns
TitreSpatial Point Patterns: Methodology and Applications with R
Chapman & Hall/CRC Interdisciplinary Statistics
AuteursAdrian Baddeley, Ege Rubak, Rolf Turner
Éditionillustrée
ÉditeurCRC Press, 2015
ISBN1482210215, 9781482210217
Longueur828 pages
  
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