In the recent comparative literature the problem of simultaneously modeling func
tional and diffusional effects is being penetrated from two directions. One approach
emphasizes the similar problem which arises in regression-based time series analysis.
A second approach focuses on the difficulties of constructing more realistic formal
representations of sample unit interdependencies. Both approaches have yielded
important and complementary, but distinct, insights. Here, we outline some recent
methodological developments which synthesize both approaches into a comprehen
sive and unified analytical framework.
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