ConsTarget | R Documentation |
This package is used to calculate two different metrics of representation target achievement in reserve networks. It comes with the two functions mpg and mta. mpg function: The mean protection gap (MPG) function determines the degree of representation target shortfall as a value between 0 and 1. mta function: The mean target achievement (MTA) function determines the degree of representation target achievement as a value between 0 and 1.
Package: | ConsTarget | |
Type: | Package | |
Version: | 0.1 | |
Date: | 2018-08-20 | |
License: | GPL 2 | GPL 3 | |
Lazyload: | yes |
Kerstin Jantke <kerstin.jantke@uni-hamburg.de>
# Generate input data
feature <- paste("Ecoregion",1:10) #conservation feature names
ai <- c(41,223,1053,520,230,303,343,2684,6507,1010) #total amount of conservation features
pi <- c(0,53,282,237,70,5,123,606,2695,496) #protected amount of conservation features
data <- data.frame(feature,ai,pi)
# Run the mpg function for representation target 0.3 (30% protection of each feature)
mpg(data,0.3,plot=TRUE)
# Run the mta function for representation target 0.5 (50% protection of each feature)
mta(data,0.5,plot=FALSE)
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