This can be achieved using the mutate verb from the tidyverse package. Which in my opinion is more readable. So, to exemplify this, I create a dataset called DT with a focus on the LocationID to mimic the problem at hand.
library(tidyverse)
DT <- data.frame('AWC'= c(333, 485, 76, 666, 54), 
                 'LocationID'= c('*Yukon','*Lewis Rich', '*Kodiak', 'Kodiak', '*Rays'))
head(DT)
  AWC  LocationID
1 333      *Yukon
2 485 *Lewis Rich
3  76     *Kodiak
4 666      Kodiak
5  54       *Rays
In what follows, mutate allows one to alter the column content, gsub does the desired substitution (of * with ""), keeping the data cleaning flow followable.
DT <- DT %>% mutate(LocationID = gsub("\\*", "", LocationID))
head(DT)
  AWC LocationID
1 333      Yukon
2 485 Lewis Rich
3  76     Kodiak
4 666     Kodiak
5  54       Rays
NOTE that \\ is placed before * as the escape character