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. 2004 Feb 25;101(10):3715–3720. doi: 10.1073/pnas.0305531101

Fig. 3.

Fig. 3.

Impact of geography and biogeography on present-day log per capita incomes. Geography and biogeography is the sum (linear combination) of the variables log geography, (T - Inline graphic) and (T - Inline graphic)2 after each variable was weighted by its estimated coefficient in regression model 5 (Table 3). Because the time since transition term (T - Inline graphic) is determined by biogeographic conditions Ãn, the solid slope line in the figure represents the estimated response of log GDP per capita to geography and biogeography combined.