knitr::opts_chunk$set(echo = TRUE)
The overall suitability can be computed using the overall_suit
function, which takes an object of class suitability. For example,
library(ALUES) banana_suit <- suit("banana", terrain=MarinduqueLT) class(banana_suit[["terrain"]]) class(banana_suit[["soil"]])
If we take a look at the output of both terrain and soil characteristics, we have:
lapply(banana_suit[["terrain"]], function(x) head(x)) # lapply is used to show the head of each item in the list lapply(banana_suit[["soil"]], function(x) head(x))
There are no factors targetted for the terrain characteristics, that is why the returned value is a string error. Thus, only the soil characteristics can have an overall suitability, and is computed as follows:
ovsuit <- overall_suit(banana_suit[["soil"]]) head(ovsuit)
By default, the overall_suit
function uses minimum as a summary statistics, hence the 0 scores and N classes across land units. To adjust this to average aggregation, use the method
argument to specify.
ovsuit <- overall_suit(banana_suit[["soil"]], method="average") head(ovsuit)
By default, the overall_suit
uses an equally spaced interval for the suitability classes, that is, N [0, 0.25), S3 [0.25, 0.50), S2 [0.50, 0.75), and S1 [0.75, 1]. This can be changed using the interval
argument, for example
ovsuit <- overall_suit(banana_suit[["soil"]], method="average", interval=c(0, 0.6, 0.7, 0.9, 1)) head(ovsuit)
The above code sets the suitability class intervals into: N [0, 0.60), S3 [0.60, 0.70), S2 [0.70, 0.90), and S1 [0.90, 1]. It should be emphasized that the interval
argument cannot be set to unbias
as in the case of the interval
argument of the suit
function. This follows from the fact that the overall_suit
function does not use a membership function for computing the score, but an aggregation function.
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