Bailey and Dynarski cited in piece on why quality education should be a "civil and moral right"
Kalousova and Burgard find credit card debt increases likelihood of foregoing medical care
Arline Geronimus wins Excellence in Research Award from School of Public Health
Yu Xie to give DBASSE's David Lecture April 30, 2013 on "Is American Science in Decline?"
U-M grad programs do well in latest USN&WR "Best" rankings
Sheldon Danziger named president of Russell Sage Foundation
Back in September
Brown, Daniel, Richard Aspinall, and David A. Bennett. 2006. "Landscape models and explanation in landscape ecology- A space for generative landscape science?" Professional Geographer, 58(4): 369-382.
Further development of process-based spatial models is needed to facilitate explanation in landscape ecology. We discuss the dual modeling goals of prediction and explanation and identify challenges faced in explaining landscape patterns. These challenges are especially acute in attempts to explain patterns that result from complex adaptive systems. We compare examples of two process models used to describe landscape changes in Yellowstone National Park as a consequence of predator-prey interactions. Generative landscape science is offered as a complementary approach to explanation, combining models of candidate processes that are believed to give rise to observed patterns with empirical observations.
DOI:10.1111/j.1467-9272.2006.00575.x (Full Text)
Browse | Search : All Pubs | Next