Last chance! 50% off unlimited learning
Sale ends in
Animated depictions of geometric, exponential, and logistic growth.
anm.geo.growth(n0, lambda, time = seq(0, 20), ylab = "Abundance",
xlab = "Time", interval = 0.1, ...)anm.exp.growth(n, rmax, time = seq(0, 20), ylab = "Abundance",
xlab = "Time", interval = 0.1, ...)
anm.log.growth(n, rmax, K, time = seq(0, 60), ylab = "Abundance",
xlab = "Time", interval = 0.1, ...)
anm.geo.growth.tck()
anm.exp.growth.tck()
anm.log.growth.tck()
Population size at time zero for geometric population growth.
Geometric growth rate.
A time sequence, i.e. a vector of integers which must include 0.
Y-axis label.
X-axis label
Animation interval in seconds per frame.
Additional arguments to plot
Initial population numbers for exponential and logistic growth
The maximum intrinsic rate of increase
The carrying capacity
Presented here are three famous population growth models from ecology. Geometric, exponential and logistic growth. The first two model growth in the presence of unlimited resources. Geometric growth is exponential growth assuming non-overlapping generations, and is computed as:
where
Exponential growth allows simultaneous existence of multiple generations, and is computed as:
where
where
Package tcltk allows implementation of all three models using GUIs.
# NOT RUN {
anm.geo.growth(10,2.4)
# }
Run the code above in your browser using DataLab