use upper-case E

12-spatial-cv.Rmd

@@ -444,7 +444,7 @@ mean(score_spcv_glm$classif.auc) |>
   round(2)
 ```
 
-To put these results in perspective, let us compare them with AUROC\index{AUROC} values from a 100-repeated 5-fold non-spatial cross-validation (Figure \@ref(fig:boxplot-cv); the code for the non-spatial cross-validation\index{cross-validation} is not shown here but will be explored in the exercise section).
+To put these results in perspective, let us compare them with AUROC\index{AUROC} values from a 100-repeated 5-fold non-spatial cross-validation (Figure \@ref(fig:boxplot-cv); the code for the non-spatial cross-validation\index{cross-validation} is not shown here but will be explored in the Exercise section).
 As expected (see Section \@ref(intro-cv)), the spatially cross-validated result yields lower AUROC values on average than the conventional cross-validation approach, underlining the over-optimistic predictive performance of the latter due to its spatial autocorrelation\index{autocorrelation!spatial}.
 
 ```{r boxplot-cv, echo=FALSE, message=FALSE, out.width="75%", fig.cap="Boxplot showing the difference in GLM AUROC values on spatial and conventional 100-repeated 5-fold cross-validation.", fig.scap="Boxplot showing AUROC values."}