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Evaluation of statistical and geostatistical models of digital soil properties mapping in tropical mountain regions Rev. Bras. Ciênc. Solo
Carvalho Junior,Waldir de; Chagas,Cesar da Silva; Lagacherie,Philippe; Calderano Filho,Braz; Bhering,Silvio Barge.
Soil properties have an enormous impact on economic and environmental aspects of agricultural production. Quantitative relationships between soil properties and the factors that influence their variability are the basis of digital soil mapping. The predictive models of soil properties evaluated in this work are statistical (multiple linear regression-MLR) and geostatistical (ordinary kriging and co-kriging). The study was conducted in the municipality of Bom Jardim, RJ, using a soil database with 208 sampling points. Predictive models were evaluated for sand, silt and clay fractions, pH in water and organic carbon at six depths according to the specifications of the consortium of digital soil mapping at the global level (GlobalSoilMap). Continuous...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Multiple linear regression; Kriging; Co-Kriging.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300003
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