Titre :
|
Statistical analysis and modelling of spatial point patterns
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Auteurs :
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J. Illian ;
A. Penttinen ;
H. Stoyan ;
D. Stoyan
|
Type de document :
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ouvrage
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Editeur :
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Hoboken [USA] : John Wiley & Sons, 2008
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Collection :
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Statistics in Practice (GBR), ISSN 2162-1217
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ISBN/ISSN/EAN :
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978-0470014912
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Format :
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535 p.
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Langues:
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= Anglais
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Catégories :
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Informatique, statistique, mathématique
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Mots-clés:
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ANALYSE STATISTIQUE
;
MODELISATION
;
MODELISATION SPATIALE
;
ANALYSE SPATIALE
;
MODELE MATHEMATIQUE
;
REPRESENTATION SPATIALE
;
STRUCTURE SPATIALE
|
Résumé :
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Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material. Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience. The book: - Provides an introduction to spatial point patterns for researchers across numerous areas of application. - Adopts an extremely accessible style, allowing the non-statistician complete understanding. - Describes the process of extracting knowledge from the data, emphasising the marked point process. - Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science. - Features a supplementary website containing example datasets.
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