updated website

Author: krietsch

docs/articles/extended_workflow/interpolate_data.html

@@ -88,9 +88,6 @@ temporal gaps between positions, interpolating might be inappropriate.
 
 ``` r
 
-# merge species to data_summary
-data_summary <- merge(data_summary, unique(data[, .(tag, species)]), by = "tag")
-
 # look at the maximal time spent within residence patches and
 # the maximal distance between the start and end position of residence patches
 data_summary[, .(
@@ -139,7 +136,7 @@ data_int <- atl_interpolate_track(
 )
 ```
 
-    ## Note: Interpolation added 1919 positions (28.74% increase).
+    ## Note: Interpolation added 1918 positions (28.73% increase).
 
 ``` r
 

docs/articles/extended_workflow/interpolate_data.md

@@ -114,7 +114,7 @@ steps (depending on the interval).
 Returns the mean of all columns for each time step. The additional
 column `n_aggregated` shows how many positions were aggregated for this
 position. Time and datetime are returned rounded down to the desired
-interval.
+interval (in seconds).
 
 ``` r
 

docs/articles/smooth_and_thin_data.html

@@ -229,7 +229,7 @@ atl_compare_res_patch_plot(
 
 
 # plot all changes in loop
-# for many changes, it pakes sense to set a filename to save the plots
+# for many changes, it makes sense to set a filename to save the plots
 foreach(i = 1:nrow(change_summary)) %do% {
   atl_compare_res_patch_plot(
     data_v1 = data_v1,