Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping
ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied to select the most relevant predictors. This study aimed to compare three covariable select...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Ciência do Solo
2019-01-01
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| Series: | Revista Brasileira de Ciência do Solo |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100315&lng=en&tlng=en |