Retrieving pedologist's mental model from existing soil map and comparing data mining tools for refining a larger area map under similar environmental conditions in Southeastern Brazil
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- 作者：Sé ; rgio Henrique Godinho Silvaa ; sergiohgsilva@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Michele Duarte de Menezesb ; michele.menezes@dcs.ufla.br" class="auth_mail" title="E-mail the corresponding author ; Phillip Ray Owensc ; prowens@purdue.edu" class="auth_mail" title="E-mail the corresponding author ; Nilton Curib ; niltcuri@dcs.ufla.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：DEM ; Digital Elevation Model ; Hx ; Hapludox ; Ax ; Acrudox ; Dt ; Dystrudept ; Et ; Endoaquent ; TWI ; topographic wetness index ; SWI ; SAGA wetness index ; mrvbf ; multiresolution index of valley bottom flatness ; mrrtf ; multiresolution index of top ridge flatness ; VDCN ; vertical distance to channel network ; MUP ; entire mapping unit polygon ; CBP ; circular buffer of 100 ; m from the sampled points ; SoLIM ; Soil Land Inference Model ; ArcSIE ; Soil Inference Engine ; TA ; Terrain attributes ; CCLH ; cost-constrai
- 刊名：Geoderma
- 出版年：2016
- 出版时间：1 April 2016
- 年：2016
- 卷：267
- 期：Complete
- 页码：65-77
- 全文大小：1806 K
文摘
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We used a detailed soil map as source of information to model and refinement
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KnowledgeMiner and decision trees retrieved information to model soil classes
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KnowledgeMiner map had higher accuracy than the original and the prediction maps
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KnowledgeMiner has great power to retrieve soil data and associated with fuzzy logic accurately extrapolated information
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Soil legacy data aid to model and refine soil maps, mainly in developing countries