A Dynamic Model of
The world is becoming better interconnected.
As more and more people in developing
countries seek to live in economically secure
ones, less and less people stay in their own.
This constantly changing flux of movement
highlights just how important understanding
the dynamics of human population is. This
project attempts to analyze and understand
the growths of a population and the migrations
of people across the world. Through
understanding how human populations
develop, we can predict changes in the future.
The human population of the world is
now at 6 billion and counting. It is
constantly growing, constantly moving.
To even try to use human power to
analyze all of this data would require
thousands of people and thousands of
hours of man power to complete. By
using computers, we can drastically cut
down on the man power needed.
This project can be useful for a great
variety of problems. Most prominently,
the US takes a census report every ten
years. But every decade in between,
the census department uses the data
gathered to estimate population values.
A dynamic model such as the one this
project would achieve would be
invaluable in assisting their efforts.
"Surface modelling of human population
distribution in China" - They split the
population into units of grid-like nature.
They analyze this data in order to create
two concurring predictions for 2015 under
"Human Population Dynamics Revisited
with the Logistic Model: How Much Can Be
Modeled and Predicted?" - The
researchers attempt to analyze the
problems and reliabilities of logistics curves
use to model and predict human
populations. They concluded that although
logistics models can be used to predict
death within 80 percent, long-term birth
and death rates cannot be fully predicted.
"A Stochastic Population Model Related to
Human Populations" - Uses probabilistic
factors in order to predict population data.