heterogeneity from those due to spatio-temporal dependence phenomena unless we rely on some
assumptions about the nature of the underlying spatio-temporal point process. In some biological
applications, for example, it is often plausible to assume that the spatial scale of the first-order
intensity is larger than the spatial scale of the second-order intensity. This assumption then implies
that the heterogeneity of the environment operates at a larger scale than the one characterizing
spatial interactions amongst events, and, as a consequence, these two characteristics of the
underlying point process are separable (Diggle et al. 2007). This specific assumption may be
realistic if prior scientific knowledge about the geographical extent of spatial interactions amongst
events is available as may be the case, for example, when analyzing the spatial diffusion of an
epidemic
heterogeneity from those due to spatio-temporal dependence phenomena unless we rely on some
assumptions about the nature of the underlying spatio-temporal point process. In some biological
applications, for example, it is often plausible to assume that the spatial scale of the first-order
intensity is larger than the spatial scale of the second-order intensity. This assumption then implies
that the heterogeneity of the environment operates at a larger scale than the one characterizing
spatial interactions amongst events, and, as a consequence, these two characteristics of the
underlying point process are separable (Diggle et al. 2007). This specific assumption may be
realistic if prior scientific knowledge about the geographical extent of spatial interactions amongst
events is available as may be the case, for example, when analyzing the spatial diffusion of an
epidemic
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