SciELO - Scientific Electronic Library Online

 
vol.78 número170HYBRID APPROACH FOR AN OPTIMAL ADJUSTEMENT OF A KNOWLEDGE-BASED REGRESSION TECHNIQUE FOR LOCATING FAULTS IN POWER DISTRIBUTION SYSTEMSDESIGN CYCLE OF A ROBOT FOR LEARNING AND THE DEVELOPMENT OF CREATIVITY IN ENGENEERING índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353versão On-line ISSN 2346-2183

Resumo

ZAMYATIN, ALEXANDER  e  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.

Palavras-chave : LUCC modeling; cellular automata; transition rules; spatial metrics; geocomputation; spatial metrics contribution level.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons