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Introduction to Markov Models

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.

Keywords

  • Markov Model
  • Transition Matrix
  • Cover Type
  • Landscape Change
  • Landsat Thematic Mapper Data

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Figure 8.1

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Acknowledgements

The classified imagery used in this lab was developed under funding provided by the USDA Forest Service New Perspectives Program, the National Sciences Foundation through the H.J. Andrews Long-Term Ecological Research (LTER) site (Grant 90-11663) and the Terrestrial Ecology Program of the National Aeronautics and Space Administration (NAGW-3745).

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Correspondence to Dean L. Urban .

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Urban, D.L., Wallin, D.O. (2017). Introduction to Markov Models. In: Gergel, S., Turner, M. (eds) Learning Landscape Ecology. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6374-4_8

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