Mathematical and Statistical Models Exampels
Results 11 - 20 of 24 matches
Daisyworld: Stella Mac or PC
After constructing a Stella model of Daisyworld students perform guided experiments to explore the behavior of Daisyworld to changes in model parameters and assumptions.
Daisyworld: Interactive On-line PC and Mac
Students use a JAVA interface design by R.M. MacKay to explore the Daisy World model. The JAVA interface comes with a link to a 6-page student activity page in PDF format.
Wind Surge: Interactive On-line Mac and PC
Wind surge is a JAVA based applet for exploring how water level on the windward and leeward side of a basin depends on wind speed, basin length, water depth, and boundary type.
World Population Activity II: Excel
(Activity 2 of 2)In this intermediate Excel tutorial students import UNEP World population data/projections, graph this data, and then compare it to the mathematical model of logistic growth.
Mass Balance Model
Students are introduced to the concept of mass balance, flow rates, and equilibrium using an online interactive water bucket model.
World Population Activity I: Excel
(Activity 1 of 2) This activity is primarily intended as an introductory tutorial on using Excel. Students use Excel to explore population dynamics using the Logistic equation for (S-shaped) population growth.
Waves Through Earth: Interactive Online Mac and PC
Students vary the seismic P and S wave velocity through each of four concentric regions of Earth and match "data" for travel times vs. angular distance around Earth's surface from the source to detector.
Planck Radiation Laws: Excel; Mac or PC
Students use an existing Excel workbook to investigate how spectral irradiance from a blackbody radiator depends on temperature, Excel Mac or PC
Wave Superposition: Interactive On-line Mac and PC
An Interactive JAVA environment to allow one to look at the linear superposition of up to 4 ocean waves
Sea Floor Spreading II
Students import ocean bathymetry data from text files, they then use Excel to graph these observations along with model prediction to assess the model's ability to simulated the observed topographic features of the North Atlantic.