A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador

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dc.creatorMartin López, Javier Mauricio
dc.creatorSilva, Mayesse Aparecida da
dc.creatorValencia Gómez, Jefferson
dc.creatorQuintero, Marcela
dc.creatorKeough, Adam
dc.creatorCasares, Francisco
dc.date2019
dc.date2020-01-29T13:02:16Z
dc.date2020-01-29T13:02:16Z
dc.date.accessioned2026-06-27T14:36:29Z
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/106784
dc.identifier.urihttp://hdl.handle.net/123456789/83053
dc.languageen
dc.rightsOpen Access
dc.sourceMartín-López, Javier M.; da Silva Mayesse; Valencia, Jefferson; Quintero, Marcela; Keough, Adam & Casares, Francisco (2019). A comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador.Presented at:Joint Workshop for Digital Soil Mapping and Global Soil Map March 12-16 2019. 2 p.
dc.subjectsoil
dc.subjectmodels
dc.subjectsoil properties
dc.titleA comparative Digital Soil Mapping (DSM) study using a non-supervised clustering analysis and an expert knowledge based model - A case study from Ahuachapán, El Salvador
dc.typeReport

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Centro Internacional de Agricultura Tropical (CIAT)