Display options
Cite
Tang W, Malanson GP, Entwisle B. Simulated village locations in Thailand: A multi-scale model including a neural network approach. Landsc Ecol. 2009;24(4):557-575doi: 10.1007/s10980-009-9322-3.
Tang, W., Malanson, G. P., & Entwisle, B. (2009). Simulated village locations in Thailand: A multi-scale model including a neural network approach. Landscape ecology, 24(4), 557-575. https://doi.org/10.1007/s10980-009-9322-3
Tang, Wenwu, et al. "Simulated village locations in Thailand: A multi-scale model including a neural network approach." Landscape ecology vol. 24,4 (2009): 557-575. doi: https://doi.org/10.1007/s10980-009-9322-3
Tang W, Malanson GP, Entwisle B. Simulated village locations in Thailand: A multi-scale model including a neural network approach. Landsc Ecol. 2009 Apr 01;24(4):557-575. doi: 10.1007/s10980-009-9322-3. PMID: 21399748; PMCID: PMC3051414.
Copy Download .nbib Format: NLM
Share it on

Landsc Ecol. 2009 Apr 01;24(4):557-575. doi: 10.1007/s10980-009-9322-3.

Simulated village locations in Thailand: A multi-scale model including a neural network approach.

Landscape ecology

Wenwu Tang, George P Malanson, Barbara Entwisle

Affiliations

  1. Department of Geography and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, IL 61801 USA, phone: 217-244-9315 /fax: 217-244-1785.

PMID: 21399748 PMCID: PMC3051414 DOI: 10.1007/s10980-009-9322-3

Abstract

The simulation of rural land use systems, in general, and rural settlement dynamics in particular has developed with synergies of theory and methods for decades. Three current issues are: linking spatial patterns and processes, representing hierarchical relations across scales, and considering nonlinearity to address complex non-stationary settlement dynamics. We present a hierarchical simulation model to investigate complex rural settlement dynamics in Nang Rong, Thailand. This simulation uses sub-models to allocate new villages at three spatial scales. Regional and sub-regional models, which involve a nonlinear space-time autoregressive model implemented in a neural network approach, determine the number of new villages to be established. A dynamic village niche model, establishing pattern-process link, was designed to enable the allocation of villages into specific locations. Spatiotemporal variability in model performance indicates the pattern of village location changes as a settlement frontier advances from rice-growing lowlands to higher elevations. Experiments results demonstrate this simulation model can enhance our understanding of settlement development in Nang Rong and thus gain insight into complex land use systems in this area.

References

  1. Behav Brain Sci. 2000 Feb;23(1):131-46; discussion 146-75 - PubMed
  2. Environ Manage. 2002 Sep;30(3):391-405 - PubMed
  3. Ann Reg Sci. 1990;24(2):83-106 - PubMed
  4. J Environ Manage. 2004 Aug;72(1-2):5-21 - PubMed

Publication Types

Grant support