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

analysis argument cluster process column completely random computed conditional intensity confidence intervals covariate Cox process cumulative distribution function data frame data points default depends distribution edge correction envelopes estimate example fitted model formula Gaussian random field geological faults Gibbs models homogeneous Poisson process hyperframe independent inhomogeneous intensity function K-function kernel left panel linear network logistic regression loglinear lurking variable marks method metres Monte Carlo test multitype point pattern null hypothesis number of points object of class observed p-value package pair correlation function panel of Figure pixel image pixel values point process model points of type Poisson distribution Poisson model Poisson point process Poisson process probability density pseudolikelihood quadrat counts random point region result right panel sampling Section smoothing spatial location spatial point pattern spatial point processes spatially varying spatstat specified stationary Strauss process summary function tessellation trees trend variable vector water striders 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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