# Import Well Rank and Distance
# Loads in csv files with the distance of each well to Long Lake or Pleasant
# Lake. Retains only rank number (aka simulation number) and distance (in meters
# and in miles) for use in scenario analysis.
library(dplyr)
library(NISTunits)
# 1. LOAD DATA -----------------------------------------------------------------
pfl <- read.csv("data-raw/pfl_dist_ranks.csv") %>%
mutate(sim = .data$dist_rank + 1,
dist_m = .data$dist_to_lake,
lake = "Plainfield") %>%
select(.data$lake, .data$sim, .data$dist_m)
long <- pfl %>%
mutate(lake = "Long")
psnt <- read.csv("data-raw/psnt_dist_ranks.csv")%>%
mutate(sim = .data$dist_rank + 1,
dist_m = .data$dist_to_lake,
lake = "Pleasant") %>%
select(.data$lake, .data$sim, .data$dist_m)
# 2. COMBINE -------------------------------------------------------------------
well_rank_dist <- rbind(pfl, long) %>%
rbind(psnt) %>%
mutate(dist_mi = NISTmeterTOmile(.data$dist_m))
# 2. SAVE ----------------------------------------------------------------------
usethis::use_data(well_rank_dist, overwrite = TRUE, compress = "xz")
write.csv(well_rank_dist,
file = "inst/csv/well_rank_dist.csv",
na = "",
row.names = FALSE)
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