Case Studies in Spatial Point Process Modeling
Published on 21. November 2005
Book
Paperback/Softback
XVIII, 310 pages
978-0-387-28311-1 (ISBN)
Description
Spatial point processes are complex stochastic models that describe the locations of "interesting" events, and (possibly) some information about each event. This book is focused on case studies, rather than methodological aspects of point process modelling.
Reviews / Votes
"For those interested in analyzing their spatial data, the wide variatey of examples and approaches here give a good idea of the possibilities and suggest reasonable paths to explore." Michael Sherman for the Journal of the American Statistical Association, December 2006More details
Series
Edition
2006 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XVIII, 310 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
505 gr
ISBN-13
978-0-387-28311-1 (9780387283111)
DOI
10.1007/0-387-31144-0
Schweitzer Classification
Other editions
Additional editions
Adrian Baddeley | Pablo Gregori | Jorge Mateu Mahiques
Case Studies in Spatial Point Process Modeling
E-Book
03/2006
1st Edition
Springer
€96.29
Available for download
Content
Basic Notions and Manipulation of Spatial Point Processes.- Fundamentals of Point Process Statistics.- Modelling Spatial Point Patterns in R.- Theoretical and Methodological Advances in Spatial Point Processes.- Strong Markov Property of Poisson Processes and Slivnyak Formula.- Bayesian Analysis of Markov Point Processes.- Statistics for Locally Scaled Point Processes.- Nonparametric Testing of Distribution Functions in Germ-grain Models.- Principal Component Analysis for Spatial Point Processes - Assessing the Appropriateness of the Approach in an Ecological Context.- Practical Applications of Spatial Point Processes.- On Modelling of Refractory Castables by Marked Gibbs and Gibbsian-like Processes.- Source Detection in an Outbreak of Legionnaire's Disease.- Doctors' Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation.- Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data.- Modelling the Bivariate Spatial Distribution of Amacrine Cells.- Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Data.- Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenya.- Diagnostic Analysis of Space-Time Branching Processes for Earthquakes.- Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes.