| Titre : |
Statistical analysis of spatial and spatio-temporal point patterns [3rd ed.] |
| Type de document : |
texte imprimé |
| Auteurs : |
Peter J. Diggle, Auteur |
| Mention d'édition : |
Third Edition |
| Editeur : |
Boca Raton ; London ; New York : CRC Press |
| Année de publication : |
2014, cop. 2014 |
| Collection : |
Monographs on statistics and applied probability num. 128 |
| Importance : |
1 vol. (XXXI-267 p.) |
| Présentation : |
ill., couv. ill. en coul. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-4665-6023-9 |
| Note générale : |
To the memory of Julian Besag FRS, 1945-2010. -- PPN 19546768X |
| Langues : |
Anglais (eng) |
| Tags : |
Analyse spatiale (Statistique) R (logiciel) Processus stochastiques Markov, Processus de Poisson, Processus de Epidémiologie Évaluation du risque -- Méthodes statistiques Spatial analysis (Statistics) Stochastic processes Markov processes Poisson processes Epidemiology Risk assessment |
| Index. décimale : |
519.53 Statistiques descriptives, analyse multivariée, analyse de la variance et de la covariance |
| Résumé : |
Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author's website -- Source other than Library of Congress |
| Note de contenu : |
Sommaire (abrégé) : List of figures (p.xv). - List of tables (p.xxvii). - Preface (p.xxix). - 1. Introduction (p.1). - 2. Preliminary testing (p.17). - 3. Methods for sparsely sampled patterns (p.39). - 4. Spatial point processes (p.55). - 5. Nonparametric methods (p.83) - 6. Models (p.99) - 7. Model-fitting using summary descriptions (p.131). - 8. Model-fitting using likelihood-based methods (p.151) - 9. Point process methods in spatial epidemiology (p.173). - 10. Spatio-temporal point processes (p.195). - 11. Exploratory analysis (p.209). - 12. Empirical models and methods (p.223). - 13. Mechanistic models and methods (p.235). - References (p.245) - Index (p.263)
|
Statistical analysis of spatial and spatio-temporal point patterns [3rd ed.] [texte imprimé] / Peter J. Diggle, Auteur . - Third Edition . - Boca Raton ; London ; New York : CRC Press, 2014, cop. 2014 . - 1 vol. (XXXI-267 p.) : ill., couv. ill. en coul. ; 24 cm. - ( Monographs on statistics and applied probability; 128) . ISBN : 978-1-4665-6023-9 To the memory of Julian Besag FRS, 1945-2010. -- PPN 19546768X Langues : Anglais ( eng)
| Tags : |
Analyse spatiale (Statistique) R (logiciel) Processus stochastiques Markov, Processus de Poisson, Processus de Epidémiologie Évaluation du risque -- Méthodes statistiques Spatial analysis (Statistics) Stochastic processes Markov processes Poisson processes Epidemiology Risk assessment |
| Index. décimale : |
519.53 Statistiques descriptives, analyse multivariée, analyse de la variance et de la covariance |
| Résumé : |
Written by a prominent statistician and author, the first edition of this bestseller broke new ground in the then emerging subject of spatial statistics with its coverage of spatial point patterns. Retaining all the material from the second edition and adding substantial new material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the methodological developments from the last decade along with diverse applications that use spatio-temporally indexed data. Practical examples illustrate how the methods are applied to analyze spatial data in the life sciences. This edition also incorporates the use of R through several packages dedicated to the analysis of spatial point process data. Sample R code and data sets are available on the author's website -- Source other than Library of Congress |
| Note de contenu : |
Sommaire (abrégé) : List of figures (p.xv). - List of tables (p.xxvii). - Preface (p.xxix). - 1. Introduction (p.1). - 2. Preliminary testing (p.17). - 3. Methods for sparsely sampled patterns (p.39). - 4. Spatial point processes (p.55). - 5. Nonparametric methods (p.83) - 6. Models (p.99) - 7. Model-fitting using summary descriptions (p.131). - 8. Model-fitting using likelihood-based methods (p.151) - 9. Point process methods in spatial epidemiology (p.173). - 10. Spatio-temporal point processes (p.195). - 11. Exploratory analysis (p.209). - 12. Empirical models and methods (p.223). - 13. Mechanistic models and methods (p.235). - References (p.245) - Index (p.263)
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