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LehmanCL

Research Abstracts Online
January - December 2011

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University of Minnesota Twin Cities
College of Biological Sciences
Department of Ecology, Evolution, and Behavior

PI: Clarence L. Lehman

Algorithms and Analysis for Natural Systems

These researchers are involved in two projects requiring large-scale computation. Both projects are developing new algorithms for understanding natural systems and are applying those algorithms to prominent real-world problems.

In the first project, the researchers are continuing their development work on Order-1 algorithms for large-scale, individual-based, equation-free modeling in ecology, epidemiology, and economics, and applying those agorithms to a whole-nation test case that addresses the unexpected resurgence of tuberculosis in recent decades. These Order-1 algorithms cover time and group management and run at a fixed speed regardless of whether the simulation encompasses sixty individuals or sixty-million. That allows the researchers to extend their investigations beyond what has normally been possible.

The second project has just started. The researchers are developing parallel algorithms for processing fine-scale elevation data of the earth’s surface in order to identify new watershed configurations. They are applying LIDAR data at one-square-meter resolution in a regional test case to learn how to decouple pollutant-laden waters in the artificial watershed of drain tiles and ditches from fresh waters in the natural watershed of lakes, ponds, rivers, and streams.

Group Members

Craig Bantz, Staff
Richard Barnes, Graduate Student
Adrienne Keen, Graduate Student
Holly Alyssa MacCormick, Collaborator
Heidi Prokash, Graduate Student
Alexandra Swanson, Graduate Student