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Reference table for Tampa Bay Nekton Index species classifications

Usage

tbnispp

Format

A data frame with 196 rows and 9 variables:

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) {
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')
}