| overall_suit | R Documentation |
This function computes the overall suitability scores and class of the land units.
overall_suit(suit, method = NULL, interval = NULL)
suit |
an object of class suitability. |
method |
a character for the method for computing the overall suitability, choices are:
|
interval |
if |
A data frame with columns:
Score - the overall suitability scores
Class - the overall suitability classes
https://alstat.github.io/ALUES/; suit
# 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 is used to show the head of each item in the list
lapply(banana_suit[["terrain"]], function(x) head(x))
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)
## Intervals
# 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.
# Other examples
library(ALUES)
out <- suit("ricebr", terrain=MarinduqueLT,
water=MarinduqueWater, temp=MarinduqueTemp, sow_month=1)
lapply(out[["terrain"]], function(x) head(x))
lapply(out[["water"]], function(x) head(x))
# Soil Overall Suitability
head(overall_suit(out[["soil"]]))
head(overall_suit(out[["soil"]], "average"))
head(overall_suit(out[["soil"]], "maximum"))
head(overall_suit(out[["soil"]], "average", c(0, 0.3, 0.35, 0.6, 1.0)))
# Water Overall Suitability
head(overall_suit(out[["water"]], "average"))
head(overall_suit(out[["water"]], "maximum"))
head(overall_suit(out[["water"]], "average", c(0, 0.3, 0.35, 0.6, 1.0)))
# Temperature Overall Suitability
head(overall_suit(out[["temp"]], "average"))
head(overall_suit(out[["temp"]], "maximum"))
head(overall_suit(out[["temp"]], "average", c(0, 0.3, 0.35, 0.6, 1.0)))
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