UID:
almafu_9959328624602883
Format:
1 online resource (xix, 534 pages) :
,
illustrations
ISBN:
9780470725160
,
0470725168
,
9780470725153
,
047072515X
Series Statement:
Statistics in practice
Content:
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 o.
Note:
Statistical Analysis and Modelling of Spatial Point Patterns; Contents; Preface; List of examples; 1 Introduction; 2 The homogeneous Poisson point process; 3 Finite point processes; 4 Stationary point processes; 5 Stationary marked point processes; 6 Modelling and simulation of stationary point processes; 7 Fitting and testing point process models; Appendix A Fundamentals of statistics; Appendix B Geometrical characteristics of sets; Appendix C Fundamentals of geostatistics; References; Notation index; Author index; Subject index.
Additional Edition:
Print version: Statistical analysis and modelling of spatial point patterns. Chichester, England ; Hoboken, NJ : John Wiley, ©2008 ISBN 9780470014912
Additional Edition:
ISBN 0470014911
Language:
English
Subjects:
Economics
,
Geography
,
Mathematics
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470725160
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470725160
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470725160
URL:
Volltext
(URL des Erstveröffentlichers)
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470725160
