Introduction to Markov Models

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Abstract

Models of landscape change are important tools for understanding the forces that shape landscapes. One motivation for modeling is to examine the implications of extrapolating short-term landscape dynamics over the longer term. This extrapolation of the status quo can serve as a frame of reference against which to assess alternative management scenarios or test hypotheses. There is a spectrum of ways to consider landscape change, ranging from simple and readily interpretable, to more realistic and less tractable. The goals of this lab are to.

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Urban, D. L., & Wallin, D. O. (2017). Introduction to Markov Models. In Learning Landscape Ecology: A Practical Guide to Concepts and Techniques, Second Edition (pp. 129–142). Springer New York. https://doi.org/10.1007/978-1-4939-6374-4_8

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