Format:
xvii, 810 Seiten :
,
Illustrationen, Diagramme.
ISBN:
978-1-4822-1020-0
,
1-4822-1020-7
Series Statement:
Chapman & Hall/CRC interdisciplinary statistics series
Content:
Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on their 25 years of software development experiences, methodological research, and broad scientific collaborations to deliver a book that clearly and succinctly explains concepts and addresses real scientific questions. Practical Advice on Data Analysis and Guidance on the Validity and Applicability of Methods The first part of the book gives an introduction to R software, advice about collecting data, information about handling and manipulating data, and an accessible introduction to the basic concepts of point processes. The second part presents tools for exploratory data analysis, including non-parametric estimation of intensity, correlation, and spacing properties. The third part discusses model-fitting and statistical inference for point patterns. The final part describes point patterns with additional "structure," such as complicated marks, space-time observations, three- and higher-dimensional spaces, replicated observations, and point patterns constrained to a network of lines.
Note:
"The spatstat package ... is free, open-source software in the R language" (spatstat, a package in the R language for analysing spatial point patterns)
Additional Edition:
Erscheint auch als Online-Ausgabe, PDF ISBN 978-1-4822-1021-7
Language:
English
Subjects:
Computer Science
,
Mathematics
Keywords:
Räumliche Statistik
;
Datenanalyse
;
Modellierung
;
R
