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- Jun 24th 2008, 02:24 PM #1

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## N(t) = γA(t)

This should be easy if you know what to do. I just don't.

N(t) = γA(t)

N(t) is a known number (of peatlands) at time t, A(t) is a known area (deglaciated) at time t. γ is an unknown number (of peatlands that can form per unit of deglaciated area). How do I decide what is the one best fit value for γ for a range of N's and A's? This needs some kind of computer programme to calculate it?

- Jun 24th 2008, 03:19 PM #2

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- Jun 25th 2008, 07:50 AM #3

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Average, that makes sense. Thanks a lot. The article I'm reading (Gorham et al 07) says about their dataset "No value of y allowed this simplest model to fit the data adequately". That made me think I should somehow try a number of values to find the fittest, but perhaps it just means different average values like mean and median?

Anyway, it seems to work now. I calculated the mean, used it for a simple model (mean*A(t)), correlated that with the actual data N(t) and got a realistic R2.