Toward Optimal Calibration of the SLEUTH Land Use Change Model

@article{Dietzel2007TowardOC,
  title={Toward Optimal Calibration of the SLEUTH Land Use Change Model},
  author={C. Dietzel and K. Clarke},
  journal={Trans. GIS},
  year={2007},
  volume={11},
  pages={29-45}
}
SLEUTH is a computational simulation model that uses adaptive cellular automata to simulate the way cities grow and change their surrounding land uses. It has long been known that models are of most value when calibrated, and that using backcasting (testing against known prior data) is an effective calibration method. SLEUTH’s calibration uses the brute force method: every possible combination and permutation of its control parameters is tried, and the outcomes tested for their success at… Expand
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