J. Lepš's scientific contributions

Citations

... The Principal Component Analysis (PCA) was applied in order to determine soil substitute parameters that influenced the Sinapis alba development. The analysis was performed using the CANOCO package and the variables data were transformed using log (x + 1) prior to the analysis response [37]. ...
... The phytoplankton data were first examined by detrended correspondence analysis (DCA) to determine the ordination method [16]. Linear model-based redundancy analysis (RDA) was chosen since the maximum gradient length was shorter than 3.0 [21]. ...
... All the measured environmental variables were initially used as explanatory variables. However, a forward selection was used to identify the more significant subset of environmental variables, and only those variables that had a variance inflation factor (VIF) less than 20 were finally considered (Lepš & Šmilauer, 1999). ...