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Analysing spatial point patterns in R by Baddeley A. is a nonfiction available to read on EtoBox.

What is Analysing spatial point patterns in R about?

232 pages This is a detailed set of notes for a workshop on Analysing spatial point patterns in R, presented by the author in Australia and New Zealand since 2006. The goal of the workshop is to equip researchers with a range of practical techniques for the statistical analysis of spatial point patterns. Some of the techniques are well established in the applications literature, while some are very recent developments. The workshop is based on spatstat, a contributed library for the statistical package R, which is free open source software. Topics covered include: statistical formulation and methodological issues; data input and handling; R concepts such as classes and methods; exploratory data analysis; nonparamet- ric intensity and risk estimates; goodness-of-fit testing for Complete Spatial Randomness; maximum likelihood inference for Poisson processes; spatial logistic regression; model val- idation for Poisson processes; exploratory analysis of dependence; distance methods and summary functions such as Ripley’s K function; simulation techniques; non-Poisson point process models; fitting models using summary statistics; LISA and local analysis; inhomo- geneous K -functions; Gib

Who reads Analysing spatial point patterns in R?

Author

Baddeley A.

Language

EN

Category

nonfiction

Subjects

Computer Science, Programming, Stem