Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata

@article{Liu2014SimulatingUG,
  title={Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata},
  author={Xiaoping Liu and Lei Ma and Xia Li and Bin Ai and Shaoying Li and Zhijian He},
  journal={International Journal of Geographical Information Science},
  year={2014},
  volume={28},
  pages={148-163}
}
Traditional urban cellular automata CA model can effectively simulate infilling and edge-expansion growth patterns. However, most of these models are incapable of simulating the outlying growth. This paper proposed a novel model called LEI-CA which incorporates landscape expansion index LEI with CA to simulate urban growth. Urban growth type is identified by calculating the LEI index of each cell. Case-based reasoning technique is used to discover different transition rules for the adjacent… CONTINUE READING

Figures, Tables, Results, and Topics from this paper.

Key Quantitative Results

  • The LEI-CA model can improve urban simulation accuracy over logistic-based CA by 13.8%, 10.8% and 6.9% in 1993, 1999 and 2005, respectively.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 49 CITATIONS

Calibrating nonparametric cellular automata with a generalized additive model to simulate dynamic urban growth

  • Environmental Earth Sciences
  • 2017
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Dianchi Lake watershed impervious surface area dynamics and their impact on lake water quality from 1988 to 2017

  • Environmental Science and Pollution Research
  • 2018
VIEW 2 EXCERPTS
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 30 REFERENCES

Simulation of the spatial stress due to urban expansion on the wetlands in Beijing, China using a GIS-based assessment model

C He
  • Landscape and Urban Planning,
  • 2011

Modeling urban landscape dynamics: A review

Sheryl BERLING-WOLFF, Jianjun Wu
  • Ecological Research
  • 2004
VIEW 1 EXCERPT