Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples.
Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies.
From the reviews:
"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 2006
| ISBN: | 9780387283111 |
| Publication date: | 21st November 2005 |
| Author: | Adrian Baddeley |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 306 pages |
| Series: | Lecture Notes in Statistics |
| Genres: |
Probability and statistics Stochastics Earth sciences |
Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples.
Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies.
From the reviews:
"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 2006
Case Studies in Spatial Point Process Modeling features in the following genres: Probability and statistics, Stochastics, Earth sciences
Case Studies in Spatial Point Process Modeling is available in Paperback
Case Studies in Spatial Point Process Modeling was written by Adrian Baddeley and published by Springer an imprint of Springer New York
Case Studies in Spatial Point Process Modeling has 306 pages
Yes it is part of Lecture Notes in Statistics series