First model with population 1000 and simulation for 20 years fixed.

Modelagem do estado psicológico de uma população. Inicialmente, todos os indivíduos estão no estado "Calmo". Com o passar do tempo e com as interações mútuas, há o surgimento e progressivo aumento do total de indivíduos com raiva (estado "Raivoso"). Deste estado e, com o passar do tempo, os indivíduos podem evoluir mentalmente e atingirem o estado "Indiferente", nos quais eles se tornam indiferentes à qualquer interação. Outra possibilidade é o indivíduo se enriquecer e, assim, atingir a felicidade (estado "Feliz").

This in-depth concept map portrays the factors influencing koala births and deaths in SEQ. It also shows that the eucalyptus tree population in SEQ is vital for the survival of the koala.

Influence of migration on the number of working-age population.

WIP integrating Epidemiology Systems Science and Policy making, mainly based on books and AJE articles by Keyes and Galea

The SEQ Koala Population over recent years has suffered due to a number of factors; habitat loss, predators, natural disasters, health issues and road fatalities to name a few.  All the while conservation efforts are being made to aid the population growth of  the national icon.

This insight draws together these contributing factors into a single population model (simulation).  This model begins with the known 2006 population and it projected based on current decline rates.  Accuracy is limited, however the downward trend is clearly evident.

Developed by Patrick O'Shaughnessy

A simple simulation used to observe the California Yellowtail population in San Diego

age demographics using Delay function

This model has two main components. First is modelling the change in population composition as non-First Nations immigration increases with the opening of new mines in the region. The second is modelling the increasing income disparity between First Nations and non-First Nations as mining jobs are disproportionately gained by non-First Nations workers.

This is a basic BIDE (birth, immigration, death, emigration) model.  Not all parts are implemented, however Birth and Death are.

Adding change over time to relative risk, odds ratio and population attributable fraction epidemiology concepts see wikipedia and examples .

FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION 
 BEWARE pushing increased growth blows the system!
(governments are trying to push growth on already unstable systems !)

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept and flawed strategy of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

Simulation of how tiger population and anti poaching efforts effect the black market value of tiger organs.

Adapted from Hartmut Bossel's "System Zoo 3 Simulation Models, Economy, Society, Development."

​Population model where the population is summarized in four age groups (children, parents, older people, old people). Used as a base population model for dealing with issues such as employment, care for the elderly, pensions dynamics, etc.

To keep control on wildlife deer populations two means are available; killing by hunters or sterilization and castration. This model allows investigating the best possible method and …  actual risk on extinction caused by proposed solutions!

Note 1) Data used in this model are fictitious.

Note 2) Govenrments preferred solution are hunters because this will generate income from licences, sterilization and castration only will generate costs; forester, transport, vet, medical. govenrments should make a stand up for the animals.

Note 3) Other solutions do exist and detail could be added to this analysis model that could result in even better solutions. 

Kind regards,  J.B. van Doesburg

Initial attempt to reduce confusion about risk and odds ratios.

A simple simulation used to observe the California Yellowtail population in San Diego

Modeling water saving potential with urban planning, demand management practice, and alternative technologies

Simulation of how tiger population and anti poaching efforts effect the black market value of tiger organs.

This is a basic BIDE (birth, immigration, death, emigration) model.  Not all parts are implemented, however Birth and Death are.

The Logistic Map is a polynomial mapping (equivalently, recurrence relation) of degree 2, often cited as an archetypal example of how complex, chaotic behaviour can arise from very simple non-linear dynamical equations. The map was popularized in a seminal 1976 paper by the biologist Robert May, in part as a discrete-time demographic model analogous to the logistic equation first created by Pierre François Verhulst. 

Mathematically, the logistic map is written

where:

 is a number between zero and one, and represents the ratio of existing population to the maximum possible population at year n, and hence x0 represents the initial ratio of population to max. population (at year 0)r is a positive number, and represents a combined rate for reproduction and starvation. To generate a bifurcation diagram, set 'r base' to 2 and 'r ramp' to 1
To demonstrate sensitivity to initial conditions, try two runs with 'r base' set to 3 and 'Initial X' of 0.5 and 0.501, then look at first ~20 time steps