update

source/expl_analysis.Rmd

@@ -239,10 +239,12 @@ comp_range_data |>
   inner_join(abv_data_total |> distinct(species, category),
             by = join_by(studied_spec == species)) |>
   DT::datatable() |>
-  DT::formatRound(columns = "percentage_overlap", digits = 2)
+  DT::formatRound(columns = c("perc_abv_total_abv",
+                              "perc_birdcube_total_abv",
+                              "percentage_birdcube_spec_abv"), digits = 2)
 ```
 
-This table shows the percentage of squares were the species was observed in both the cubes and the ABV monitoring compared to all squares where the species was observed during the ABV monitoring. Overall we see an overlap of `r sum(comp_range_data$overlap_abv_birdcube)/sum(comp_range_data$abv_squares)`.
+This table shows the percentage of squares were the species was observed in both the cubes and the ABV monitoring compared to all squares where the species was observed during the ABV monitoring. Overall we see an overlap of `r sum(comp_range_data$percentage_birdcube_spec_abv)/sum(comp_range_data$abv_squares)`.
 
 # 1. Trend Analysis
 ## Correlation of time series of species occurrences