library(tidyverse)

## information from layers.csv
key <- "<%=key%>"
dir_scenario_gh <- "<%=dir_scenario_gh%>"
layers_csv  <- readr::read_csv(file.path(dir_scenario_gh, 'layers.csv'))
layers_web <- sprintf('http://ohi-science.org/%s/layers.html', key)

Food Provision: Fisheries


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="FIS") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Food Provision: Mariculture


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="MAR") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Artisanal Fishing Opportunity


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="AO") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Natural Products


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="NP") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Carbon Storage


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="CS") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Coastal Protection


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="CP") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Tourism & Recreation


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="TR") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Livelihoods & Economies: Livelihoods


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="LIV") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Livelihoods & Economies: Economies


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="ECO") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Sense of Place: Iconic Species


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="ICO") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Sense of Place: Lasting Special Places


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="LSP") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Clean Waters


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="CW") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Biodiversity: Species


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="SPP") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))

Biodiversity: Habitats


Data used in model

Status & trend

st <- layers_csv %>%
  filter(targets=="HAB") %>%
  mutate(web_name = gsub(" ", "_", name)) %>%
  mutate(web_name = tolower(web_name)) %>%
  mutate(web_name = gsub("/", "", web_name)) %>%
  mutate(info = sprintf("[%s](%s#%s) (%s): %s", name, layers_web, web_name, layer, description))

cat(paste(st$info, collapse="\n\n"))


OHI-Science/ohirepos documentation built on June 1, 2024, 12:21 p.m.