Designed and written by Warren Kovach
Wa-Tor for Windows is a population ecology simulation game, based on a random model. Wa-Tor is a toroidal (doughnut-shaped) planet completely covered by an ocean and populated by two species. You pit hungry sharks against tasty fish and see who comes out on top. The populations may fluctuate in a similar manner to the Lotka-Volterra model, continuing for hundreds of generations, or the populations may go extinct in a very short time, depending on the initial parameters and subsequent random events. The population may also become chaotic for a time, then return to relatively regular fluctuations.
You control the initial number of sharks and fishes, their breeding rates, and the shark starvation time. Sharks and fish then breed and move about randomly, with the sharks eating any nearby fish. The dynamics of the populations can be watched on the Wa-Tor world map as well as on several types of graphs (population curves, predator/prey graphs, or age structure plots). The results may be saved to a comma-delimited file and imported to a spreadsheet program for further analysis and graphing. The program is based on an idea first published in Scientific American's "Computer Recreation" column in 1984.
You can view a screen-shot of the program.
Download
You can download a demo version of the latest Wa-Tor from here.
Price
UK£10/US$15 per copy plus shipping and handling.
Order Now!
You can order Wa-Tor on-line using our secure shopping cart facility:
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Simply press the "Add to cart" button above to add this to your shopping cart. You can then either shop for more software or go to the checkout to add your shipping and payment details. You may submit the form to us electronically or print out a copy to fax or post to us.
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System Requirements
- IBM-PC or compatible computer, 286 or better
- DOS 3.0 or higher
- Microsoft Windows 3.0 or higher
- 1Mb RAM memory
- 150kb disk space
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Copyright © 2008 Kovach Computing Services, Anglesey, Wales. All Rights Reserved. Portions copyright Addinsoft, Provalis Research, and Data Description Inc.
Last modified 25 January, 2008
