ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING
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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2011
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| author | ALEXANDER ZAMYATIN |
| author_facet | ALEXANDER ZAMYATIN |
| contents | ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING ALEXANDER ZAMYATIN PEDRO CABRAL Ingeniería LUCC modeling LUCC modeling geocomputation geocomputation spatial metrics 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. 2011 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49621159005 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.170 Vol.78 |
| format | Artículo científico |
| id | redalyc_49621159005 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING ALEXANDER ZAMYATIN Ingeniería LUCC modeling LUCC modeling geocomputation geocomputation spatial metrics ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING ALEXANDER ZAMYATIN PEDRO CABRAL Ingeniería LUCC modeling LUCC modeling geocomputation geocomputation spatial metrics 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. 2011 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49621159005 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.170 Vol.78 |
| title | ADVANCED SPATIAL METRICS ANALYSIS IN CELLULAR AUTOMATA LAND USE AND COVER CHANGE MODELING |
| topic | Ingeniería LUCC modeling LUCC modeling geocomputation geocomputation spatial metrics |
| url | https://www.redalyc.org/articulo.oa?id=49621159005 |