Reference table for Tampa Bay Nekton Index species classifications

Usage

tbnispp

Format

A data frame with 196 rows and 10 variables:

TSN: int
NODCCODE: chr
ScientificName: chr
Include_TB_Index: chr
Hab_Cat: chr
Est_Cat: chr
Est_Use: chr
Feeding_Cat: chr
Feeding_Guild: chr
Selected_Taxa: chr

Examples

if (FALSE) { # \dontrun{
library(dplyr)

# import and clean
tbnispp <- read.csv('../tbni-proc/data/TBIndex_spp_codes.csv',
    header = TRUE, stringsAsFactors = FALSE) %>%
  mutate(
    NODCCODE = as.character(NODCCODE),
    NODCCODE = case_when(NODCCODE == "9.998e+09" ~ "9998000000",
                             TRUE ~ NODCCODE)
  )

save(tbnispp, file = 'data/tbnispp.RData', compress = 'xz')
} # }