Show me the code

To evaluate the soil characteristics of the land units of Marinduque, Philippines, for farming banana, use the suit function as follows:

library(ALUES)

## Loading required package: Rcpp

suit_banana <- suit("banana", terrain=MarinduqueLT)

## Warning in suitability(terrain, crop_soil, mf = mf, sow_month = NULL, minimum
## = minimum, : maximum is set to 16 for factor CECc since all parameter intervals
## are equal.

head(suit_banana[["soil"]]$`Suitability Score`)

##      CFragm   CECc pHH2O SoilTe
## 1 0.8533333 0.7500     0   0.96
## 2 0.8800000 0.7500     0   0.96
## 3 0.8666667 0.7500     0   0.96
## 4 0.8666667 0.7500     0   0.96
## 5 0.8400000 0.7500     0   0.96
## 6 0.8533333 0.8125     0   0.96

head(suit_banana[["soil"]]$`Suitability Class`)

##   CFragm CECc pHH2O SoilTe
## 1     S1   S1     N     S1
## 2     S1   S1     N     S1
## 3     S1   S1     N     S1
## 4     S1   S1     N     S1
## 5     S1   S1     N     S1
## 6     S1   S1     N     S1

To compute the overall suitability of the land units by averaging across factors, use the overall_suit as follows:

osuit <- overall_suit(suit_banana[["soil"]], method="average")
head(osuit)

##       Score Class
## 1 0.6505051    S2
## 2 0.6569697    S2
## 3 0.6537374    S2
## 4 0.6537374    S2
## 5 0.6472727    S2
## 6 0.6656566    S2

Show me the speed

The elapsed time for computing the suitability scores and classes were recorded for the land units of Marinduque, which has 881 units (or observations) in total; and, for the region of Lao Cai, Vietnam, which has 2928 land units.

library(microbenchmark)
microbenchmark(
  suppressWarnings(suit("banana", terrain=MarinduqueLT, interval="unbias"))
)

## Unit: milliseconds
##                                                                           expr
##  suppressWarnings(suit("banana", terrain = MarinduqueLT, interval = "unbias"))
##       min       lq     mean   median     uq      max neval
##  6.913794 7.134749 7.899531 7.333799 7.9334 11.81077   100

microbenchmark(
  suppressWarnings(suit("banana", terrain=LaoCaiLT, interval="unbias"))
)

## Unit: milliseconds
##                                                                       expr
##  suppressWarnings(suit("banana", terrain = LaoCaiLT, interval = "unbias"))
##       min       lq     mean   median       uq      max neval
##  10.36607 11.15929 11.85221 11.35369 11.82274 21.01461   100