Resource Details

Importance of Input Classification to Graph Automata Simulations of Forest Cover Change in the Peruvian Amazon

Literature: Books or Book Chapters

Crews, K.A. & Moffett, A. 2010, "Importance of Input Classification to Graph Automata Simulations of Forest Cover Change in the Peruvian Amazon" in Reforesting Landscapes, ed. J. Southworth, Springer Netherlands, pp. 205-225.

Contact Info

Corresponding Author:

Affiliations

  • Department of Geography and the Environment, The University of Texas at Austin
  • A. Moffett Pritzker School of Medicine, The University of Chicago

Link(s)

Reforesting Landscapes

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Description

  • In an area of Peru where imaging is difficult, the authors evaluate landcover and detect changes in landuse.
  • They use graph automata to model land cover change in a way that evaluates interactions between distinct cells on a grid that are not in spatial proximity.
  • They create maps that demonstrate current forest cover and can simulate where increases of decreases in forest cover would likely occur.

Related Publications and Projects

Geographical Region

  • Andean Region
  • Country

  • Peru
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