Application of machine learning methods for paleoclimatic reconstructions from leaf traits
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DOI: 10.1002/joc.6921
Abstract: Digital leaf physiognomy (DLP) is considered as one of the most promising methods for estimating past climate. However, current models built using the DLP data set still lack precision, especially for mean annual precipitation (MAP).… read more here.
Keywords: precision; machine; map; machine learning ... See more keywords