Part III deals with statistical modelling and inference for point pattern data, starting in this chapter with Poisson point process models.

Poisson point processes were introduced briefly in Chapter 5. In this chapter we show how to use them as statistical models 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. Validation of a fitted model is discussed in chapters 10 and 11.