library(aceecostats)
library(sp)
knitr::kable(as.data.frame(aes_zone))
Atlantic |
High-Latitude |
19855197.0 |
#7CAE0099 |
1 |
Atlantic |
Continent |
1084548.0 |
#7CAE00FF |
2 |
Atlantic |
Mid-Latitude |
15671351.4 |
#7CAE004D |
3 |
EastPacific |
High-Latitude |
3241353.4 |
#C77CFF99 |
4 |
EastPacific |
Continent |
724857.5 |
#C77CFFFF |
5 |
EastPacific |
Mid-Latitude |
10573933.0 |
#C77CFF4D |
6 |
Indian |
High-Latitude |
11699156.9 |
#00BFC499 |
7 |
Indian |
Continent |
706453.8 |
#00BFC4FF |
8 |
Indian |
Mid-Latitude |
13068371.7 |
#00BFC44D |
9 |
WestPacific |
High-Latitude |
8136176.3 |
#F8766D99 |
10 |
WestPacific |
Continent |
885409.0 |
#F8766DFF |
11 |
WestPacific |
Mid-Latitude |
23025500.3 |
#F8766D4D |
12 |
Area
There are 12 regions classified by SectorName, and Zone.
plot(aes_zone, col = aes_zone$colour)
text(coordinates(aes_zone), lab = aes_zone$ID)