| plot_pop_trend | R Documentation | 
Plot linear graphs to illustrate population changes through time.
plot_pop_trend(x, stages = NULL, emp = FALSE, return_data = FALSE, ...)
x | 
 a simulation_results object  | 
stages | 
 life-stages to plot - by default all life-stages will be shown. Set to zero for totals (i.e. sums of all life-stages).  | 
emp | 
 (TRUE/FALSE) add a dashed line indicating the expected minimum population of the simulation (for multiple replicates only)  | 
return_data | 
 (TRUE/FALSE) should the data used to create the plots be returned?  | 
... | 
 further arguments passed to/from other methods  | 
## Not run: 
ls <- landscape(population = egk_pop, suitability = egk_hab, carrying_capacity = egk_k)
pd <- population_dynamics(change = growth(egk_mat),
                          dispersal = kernel_dispersal(max_distance = 2000,
                                        dispersal_kernel = exponential_dispersal_kernel(
                                          distance_decay = 1000)),
                          density_dependence = ceiling_density())
sim <- simulation(landscape = ls,
                  population_dynamics = pd,
                  habitat_dynamics = NULL,
                  timesteps = 20)
# Plot the population trajectories by life-stage
plot_pop_trend(sim)
# Plot the total population trajectory
plot_pop_trend(sim, stages = 0) 
## End(Not run)
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