library(tidyverse)

# data with information
layers  <- readr::read_csv("../../../eez_layers_meta_data/layers_eez_base.csv")
targets <- read::csv("../../../eez_layers_meta_data/layers_eez_targets.csv")
layers_web <- "http://ohi-science.org/ohi-global/layers.html"
# setwd('eez2016/conf/')

Food Provision: Fisheries


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="FIS", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
  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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="FIS", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="FIS", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Food Provision: Mariculture


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="MAR", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="MAR", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="MAR", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Artisanal Fishing Opportunity


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="AO", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="AO", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="AO", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Natural Products


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="NP", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="NP", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="NP", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Carbon Storage


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="CS", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="CS", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="CS", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Coastal Protection


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="CP", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="CP", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="CP", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Tourism & Recreation


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="TR", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="TR", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="TR", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Livelihoods & Economies: Livelihoods


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="LIV", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="LIV", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="LIV", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Livelihoods & Economies: Economies


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="ECO", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="ECO", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="ECO", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Sense of Place: Iconic Species


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="ICO", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="ICO", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="ICO", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Sense of Place: Lasting Special Places


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="LSP", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="LSP", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="LSP", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Clean Waters


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="CW", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="CW", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="CW", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Biodiversity: Species


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="SPP", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="SPP", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="SPP", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Biodiversity: Habitats


Data used in model

Status & trend

st <- targets %>%
  filter(goal=="HAB", dimension %in% c("status", "trend")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Pressure

st <- targets %>%
  filter(goal=="HAB", dimension %in% c("pressure")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))

Resilience

st <- targets %>%
  filter(goal=="HAB", dimension %in% c("resilience")) %>%
  select(layer) %>%
  unique()

st_layers <- filter(layers, layer %in% st$layer) %>%
 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_layers$info, collapse="\n\n"))


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