Resumen

ZAMYATIN, ALEXANDER  y  CABRAL, PEDRO. ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING. Dyna rev.fac.nac.minas [online]. 2011, vol.78, n.170, pp.42-50. ISSN 0012-7353.

This paper proposes an approach for a more effective definition of cellular automata transition rules for landscape change modeling using an advanced spatial metrics analysis. This approach considers a four-stage methodology based on: (i) the search for the appropriate spatial metrics with minimal correlations; (ii) the selection of the appropriate neighborhood size; (iii) the selection of the appropriate technique for spatial metrics application; and (iv) the analysis of the contribution level of each spatial metric for joint use. The case study uses an initial set of 7 spatial metrics of which 4 are selected for modeling. Results show a better model performance when compared to modeling without any spatial metrics or with the initial set of 7 metrics.

Palabras clave : LUCC modeling; cellular automata; transition rules; spatial metrics; geocomputation; spatial metrics contribution level.

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