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A neural qualitative approach for automatic territorial zoning. Repositório Alice
MACIEL, R. J. S.; SILVA, M. A. S. da; MATOS, L. N.; DOMPIERI, M. H. G..
This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic territorial zoning by combining the handle of categorical data and the other for automatic clustering. The SOM online learning algorithm had been chosen to treat categorical data by using the dot product method and the Sorense-Dice binary similarity coefficient. To automatically perform a spatial clustering, an adaptation of the automatic clustering Costa-Netto algorithm had been also proposed. The correspondence analysis had been used to examine the profiles of each homogeneous zones. To explore the approach it has been performed the territorial zoning of the Alto Taquari River Basin, Brazil, using as input data a set of thematic maps. The results...
Tipo: Artigo em anais de congresso (ALICE) Palavras-chave: Bacia do Alto Taquari; Zoneamento; Análise espacial; Self-organizing maps; Exploratory spatial analysis; Similarity coefficients; Alto Taquari River Basin; Correspondence analysis; Zoning; Thematic maps.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085890
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Automatic environmental zoning with self-organizing maps. Repositório Alice
SILVA, M. A. S. da; MACIEL, R. J. S.; MATOS, L. N.; DOMPIERI, M. H. G..
This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic environmental zoning by combining the handle of categorical data and the other for automatic clustering. The SOM online learning algorithm had been chosen to treat categorical data by using the dot product method and the Sorense-Dice binary similarity coefficient. To automatically perform a spatial clustering, an adaptation of the automatic clustering Costa-Netto algorithm had been also proposed. The correspondence analysis had been used to examine the profiles of each homogeneous zones. To explore the approach it has been performed the environmental zoning of the Alto Taquari River Basin, Brazil, using as input data a set of thematic maps. The...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Artificial neural network; Exploratory spatial analysis; Similarity coefficients; Alto Taquari river; Correspondence analysis.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1103941
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Genetic variation detected by RAPD markers in natural populations of babassu palm (Attalea speciosa Mart.). Repositório Alice
SANTOS, M. F.; SILVA, K. J. D. e; CARVALHAES, M. A.; LIMA, P. S. da C..
The purpose of this study was to analyze the effects of management on the genetic structure of natural populations of Attalea speciosa in the State of Piauí, Brazil, using random-amplified polymorphic DNA (RAPD) markers. Three babassu populations under different management systems were selected. Polymerase chain reactions were performed for 20 RAPD primers. A total of 146 bands were generated, 141 of which were polymorphic (96.58%), with a variation of 4 and 12 loci and an average of 7 bands per primer. A dendrogram revealed a clear separation between the three populations (0.57). Data reliability and node consistency were verified by bootstrap values and the cophenetic correlation coefficient (88.15%). Coefficients of similarity between pairs of genotypes...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Diversidade genética; Manejo populacional; Coeficiente de similaridade; Palmeira oleaginosa; Babaçu; Genetic diversity; Population management; Palm tree; Similarity coefficients.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/handle/doc/1017655
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