library(dplyr) library(tidyr) library(knitr) layer_meta <- read.csv('../../../eez_layers_meta_data/layers_eez_base.csv', stringsAsFactors = FALSE) layer_path <- 'https://github.com/OHI-Science/ohi-global/tree/draft/eez2016/layers'
number of jobs
value
value
value
value
value
value
score
score
scaled 0-1
scaled 0-1
status score
trend score
B/Bmsy
extent*storage
scaled 0-1
trend
0 or 1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
extent*rank
scaled 0-1
scaled
scaled 0-1
scaled 0-1
scaled 0-1
tonnes
proportion
2012 USD
USD
scaled 0-1
scaled
proportion
trend
km2
boolean
scaled 0-1
scaled 0-1
km2
number of people
km2
scaled 0-1
region id
IUCN risk category
number of jobs
value
value
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
tonnes
scaled 0-1
score
scaled 0-1
scaled 0-1
scaled 0-1
tonnes
scaled 0-1
scaled 0-1
trend
scaled 0-1
km2
km2
label
scaled 0-1
trend
proportion
trend
km2
label
proportion
proportion
USD
2010 USD
value
value
scaled 0-1
scaled 0-1
value
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
scaled 0-1
number of people
score
proportion
UN regions
score
scaled 0-1
value
2010 USD
value
scaled 0-1
scaled 0-1
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