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	Provedor de dados Scientia Agricola (2) Autor Giasson,Elvio (2) Clarke,Robin Thomas (1) Flores,Carlos Alberto (1) Hasenack,Heinrich (1) Inda Junior,Alberto Vasconcellos (1) Merten,Gustavo Henrique (1) Sarmento,Eliana Casco (1) Tornquist,Carlos Gustavo (1) Weber,Eliseu (1) Mais... Palavra-chave GIS (2) Soil survey (2) Terrain analysis (2) DEM (1) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2011 (1) 2006 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Decision trees for digital soil mapping on subtropical basaltic steeplands Scientia Agricola Giasson,Elvio; Sarmento,Eliana Casco; Weber,Eliseu; Flores,Carlos Alberto; Hasenack,Heinrich. 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... Tipo: Info:eu-repo/semantics/article Palavras-chave: GIS; Soil survey; Terrain analysis. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000200006 Digital soil mapping using multiple logistic regression on terrain parameters in southern Brazil Scientia Agricola Giasson,Elvio; Clarke,Robin Thomas; Inda Junior,Alberto Vasconcellos; Merten,Gustavo Henrique; Tornquist,Carlos Gustavo. 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... Tipo: Info:eu-repo/semantics/article Palavras-chave: GIS; DEM; Soil survey; Terrain analysis. Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000300008 Registros recuperados: 2 Primeira ... 1 ... Última

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