Data/hora: 03/06/2024 01:27:57

Provedor de dados: 	63	
País: 	Brazil	
Título: 	Digital soil mapping using multiple logistic regression on terrain parameters in southern Brazil	
Autores: 	Giasson,Elvio; Clarke,Robin Thomas; Inda Junior,Alberto Vasconcellos; Merten,Gustavo Henrique; Tornquist,Carlos Gustavo.	
Data: 	2006-06-01	
Ano: 	2006	
Palavras-chave: 	GIS; DEM; Soil survey; Terrain analysis.	
Resumo: 	Soil surveys are necessary sources of information for land use planning, but they are not always available. This study proposes the use of multiple logistic regressions on the prediction of occurrence of soil types based on reference areas. From a digitalized soil map and terrain parameters derived from the digital elevation model in ArcView environment, several sets of multiple logistic regressions were defined using statistical software Minitab, establishing relationship between explanatory terrain variables and soil types, using either the original legend or a simplified legend, and using or not stratification of the study area by drainage classes. Terrain parameters, such as elevation, distance to stream, flow accumulation, and topographic wetness index, were the variables that best explained soil distribution. Stratification by drainage classes did not have significant effect. Simplification of the original legend increased the accuracy of the method on predicting soil distribution.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000300008	
Editor: 	São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"	
Relação: 	10.1590/S0103-90162006000300008	
Formato: 	text/html	
Fonte: 	Scientia Agricola  v.63 n.3 2006	
Fonte: 	info:eu-repo/semantics/openAccess