Digital soil mapping: strategy for data pre-processing

Revista Brasileira de Ciência do Solo

Alexandre Ten Caten²  Ricardo Simão Diniz Dalmolin¹  Luis Fernando Chimelo Ruiz¹ 

[1] ,Universidade Federal de Santa Catarina SC

关键词: choropleth map;    pedometrics;    soil survey;    decision tree;    Mapa coroplético;    pedometria;    levantamento de solos;    árvore de decisão;   

DOI  :  10.1590/S0100-06832012000400003

来源: SciELO

【 摘 要 】

The region of greatest variability on soil maps is along the edge of their polygons, causing disagreement among pedologists about the appropriate description of soil classes at these locations. The objective of this work was to propose a strategy for data pre-processing applied to digital soil mapping (DSM). Soil polygons on a training map were shrunk by 100 and 160 m. This strategy prevented the use of covariates located near the edge of the soil classes for the Decision Tree (DT) models. Three DT models derived from eight predictive covariates, related to relief and organism factors sampled on the original polygons of a soil map and on polygons shrunk by 100 and 160 m were used to predict soil classes. The DT model derived from observations 160 m away from the edge of the polygons on the original map is less complex and has a better predictive performance.

【 授权许可】

CC BY   
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