Fixing the Graymodel
CSEF · 2012 Mathematics & Software
Overview
Objectives/Goals A population dynamics model of gray whales by a biologist John Brandon does not "work" for unknown reasons. My goal was to discover why and attempt to fix this "graymodel." Methods/Materials The populations model is online at graymodel.stanford.edu. I used Processing, a sub language of Java, to model some of Brandon's equations and Microsoft Excel for graphs. T analyzed Brandon's equations and data that he used to find out which equations or what data could be modified, kept, thrown out, etc. to obtain a better model. Mainly, my analysis focused on the kill count of gray whales. Results There was a major flaw in the model, a discrepancy between the numbers modeled and the data given. From there, I took certain equations and data and "fixed" and re-graphed the data, which should now more accurately model the kill count of the whales. Conclusions/Discussion There is now new data for the model; however, there is no way to measure the accuracy or precision of these obtained numbers from my program. In addition, many of Brandon's equations were confusing and difficult to understand. There were several attempts to contact John Brandon through email and personal visits, but no reply was given. Without contact from the original programmer, progress has been slow, starting from ground zero. However, I do believe that the data is more accurate and could potentially help in the process of fixing this population model. The results will be sent to John Brandon and hopefully future contact will be made to continue this project.
Summary statement
My project focuses on analyzing a pre-existing gray whale population dynamics model by biologist John Brandon to find the error in the model and to fix it.
Help received
Diana Herrington provided background information on the model; Dr. Ke Wu helped explain some of the mathematics; Mother helped glue the display
Competition history
- CSEF 2012
Resources
Related projects
CSEF · 2007
The Utilization of Empirical Math Modeling in a Predator-Prey Relationship
CSEF · 2007
Simulation Software of Prey and Predator Species in a Controlled Environment
CSEF · 2010
Salmonids by Numbers II: A Predictive Simulation-Analysis of San Lorenzo River Fish Populations
CSEF · 2006
The Utilization of Empirical Math Modeling in a Predator-Prey Relationship
CSEF · 2002
Bob's World
CSEF · 2012
A Mathematical Analysis of Animal Food Chains in Serengeti National Park, Africa: A Computer Simulation Program
CSEF · 2014
Resurrecting the Thylacine to Save the Tasmanian Devil: An Ecological Exploration with an Agent Based Model
CSEF · 2002
Probing the Impact of Man's Genetic Manipulation via Computer Modeling
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: California Science & Engineering Fair public projects