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Sastry's 10-year study of New Orleans Katrina evacuees shows demographic differences between returning and nonreturning

Stafford says less educated, smaller investors more likely to sell off stock and lock in losses during market downturn

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Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Bob Willis awarded 2015 Jacob Mincer Award for Lifetime Contributions to the Field of Labor Economics

David Lam is new director of Institute for Social Research

Elizabeth Bruch wins Robert Merton Prize for paper in analytic sociology

Next Brown Bag

Monday, Oct 12
Joe Grengs, Policy & Planning for Social Equity in Transportation

Daniel G. Brown photo

Landscape models and explanation in landscape ecology- A space for generative landscape science?

Publication Abstract

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)

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