Data/hora: 09/06/2024 06:49:53

Provedor de dados: 	63	
País: 	Brazil	
Título: 	Decision trees for digital soil mapping on subtropical basaltic steeplands	
Autores: 	Giasson,Elvio; Sarmento,Eliana Casco; Weber,Eliseu; Flores,Carlos Alberto; Hasenack,Heinrich.	
Data: 	2011-04-01	
Ano: 	2011	
Palavras-chave: 	GIS; Soil survey; Terrain analysis.	
Resumo: 	When soil surveys are not available for land use planning activities, digital soil mapping techniques can be of assistance. Soil surveyors can process spatial information faster, to assist in the execution of traditional soil survey or predict the occurrence of soil classes across landscapes. Decision tree techniques were evaluated as tools for predicting the ocurrence of soil classes in basaltic steeplands in South Brazil. Several combinations of types of decicion tree algorithms and number of elements on terminal nodes of trees were compared using soil maps with both original and simplified legends. In general, decision tree analysis was useful for predicting occurrence of soil mapping units. Decision trees with fewer elements on terminal nodes yield higher accuracies, and legend simplification (aggregation) reduced the precision of predictions. Algorithm J48 had better performance than BF Tree, RepTree, Random Tree, and Simple Chart.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000200006	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/S0103-90162011000200006	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.68 n.2 2011	
Fonte: 	info:eu-repo/semantics/openAccess