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Models of the form ​a+blnx, logarithmic scales and linearizing exponential data.
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A logistic model describes growth that appears exponential for smaller values but slows as it approaches a carrying capacity, represented by a horizontal asymptote above the curve.
Logistic models are given by the general equation ​f(x)=1+Ce−kxL​, where ​L​ is the carrying capacity. Logistic models are particularly effective for modelling population growth, as they tend to grow exponentially from small numbers yet have a carrying capacity capped by the scarcity of space, food, and water. ​k​ is often called the intrinsic rate, and it represents the rate of growth of a quantity before it nears carrying capacity. Finally, ​C​ controls the initial population since ​f(0)=1+CL​, where ​f(0)​ is the initial population.
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