#Create survey index
#For a complete update run pull_survdat.R to generate new survdat data sets
library(here); library(survdat); library(data.table); library(sf)
#Load seperete albatross and bigelow data sets
load(here::here('data-raw', 'data', 'survdat_Albatross.RData'))
load(here::here('data-raw', 'data', 'survdat_Bigelow.RData'))
load(here::here('data-raw', 'data', 'survdat.RData'))
#Focal species
spp <- c(32, 73, 197, 74, 15, 106, 105, 121, 72, 23, 75)
#Load Georges Bank survey strata
GB <- read_sf(here('data-raw', 'gis'), 'GB_SOE_strata')
#Focal species
surveyIndexA4 <- survdat::calc_stratified_mean(survdat.a4$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
filterByGroup = spp, tidy = T)
surveyIndexHB <- survdat::calc_stratified_mean(survdat.hb$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
filterByGroup = spp, tidy = T)
surveyIndex <- survdat::calc_stratified_mean(survdat$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
filterByGroup = spp, tidy = T)
#All species
surveyIndexA4All <- survdat::calc_stratified_mean(survdat.a4$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
tidy = T)
surveyIndexHBAll <- survdat::calc_stratified_mean(survdat.hb$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
tidy = T)
surveyIndexAll <- survdat::calc_stratified_mean(survdat$survdat,
areaPolygon = GB,
areaDescription = 'EPU',
filterBySeason = c('FALL', 'SPRING'),
tidy = T)
#Output to package
usethis::use_data(surveyIndexA4, overwrite = TRUE)
usethis::use_data(surveyIndexHB, overwrite = TRUE)
usethis::use_data(surveyIndex, overwrite = TRUE)
usethis::use_data(surveyIndexA4All, overwrite = TRUE)
usethis::use_data(surveyIndexHBAll, overwrite = TRUE)
usethis::use_data(surveyIndexAll, overwrite = TRUE)
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