Resultados de búsqueda - Object-oriented programming languages.

Predicting Soil Organic Carbon Stocks Under Native Forests and Grasslands in the Dry Chaco Region of Argentina por Filip, Iván Daniel, Peri, Pablo Luis, Banegas, Natalia Romina, Nasca, Jose Andres, Sacido, Mónica, Faverin, Claudia, Vibart, Ronaldo

“…Data on topsoil (0–300 mm) organic C stocks from six experiments conducted in the Dry Chaco region, the world’s largest dry tropical forest, were used to test the predictive performance of the Rothamsted Carbon Model (RothC) after its implementation in an object-oriented graphical programming language. RothC provided promising predictions (i.e., precise and accurate) of the SOC stocks under two representative land covers in the region, native forest and Rhodes grass [relative prediction error (RPE) < 10%, concordance correlation coefficient (CCC) > 0.9, modelling efficiency (MEF) > 0.7]. …”
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