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Spatial Point Patterns
book

Spatial Point Patterns

by Adrian Baddeley, Ege Rubak, Rolf Turner
November 2015
Intermediate to advanced content levelIntermediate to advanced
828 pages
33h 11m
English
Chapman and Hall/CRC
Content preview from Spatial Point Patterns
9
Poisson Models
Part III deals with statistical modelling and inference for point pattern data, starting in this chapter
with Poisson point process models.
9.1 Introduction
Poisson point processes w ere introduced briefly in Chapter 5. In this chapter we show how to
use them as statistical mode ls for point pattern data. We show how to formulate a Poisson model
appropriate to the data, fit the model to the data, and interpret the results. Valid ation of a fitted
model is discussed in chapters 10 and 11 .
The key property of a Poisson process is that the random po ints ar e independent of each other.
This property greatly simplifies the statistical an a
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Publisher Resources

ISBN: 9781482210217