multivariate poisson hidden markov models for analysis of spatial ...

illustrates the contour plot of the independent, the common and the restricted covariance
hidden Markov models, which visualized the pattern of the weed distributions.
Comparing Figure 6.14 and Figure 6.15 it can be seen that there were similarities in the
weed distributions from the finite mixture model allocation and the hidden Markov
model allocation for the three covariance structures. For the restricted covariance
model, the allocation of observations to the clusters or states was very similar for both
models. But for the independent and the common covariance structures the allocation of
some of the observations to clusters or states was not the same.
The choice of a best model is still questionable. In the next chapter, properties of the
finite mixture models and a criterion for goodness of fit index are discussed.
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