require(testthat)
# default input for testing
B_SOILTYPE_AGR = c('dekzand', 'loess', 'rivierklei','veen')
B_LU_BBWP = rep('gras_permanent',4)
B_LU_BRP = rep(265,4)
B_LU_ARABLE_ER = c(F,F,F,F)
B_LU_PRODUCTIVE_ER = c(T,T,T,T)
B_LU_CULTIVATED_ER = c(T,T,T,T)
B_GWL_CLASS = rep('GtIII',4)
B_AREA = c(450000,180000,8000,60000)
B_AER_CBS = c("Bouwhoek en Hogeland","LG14","LG12","Westelijk Holland")
B_SLOPE_DEGREE = rep(2.5,4)
M_DRAIN = rep(TRUE,4)
A_P_SG = rep(25,4)
erf <- er_farm_aim(B_SOILTYPE_AGR,B_AREA)
B_CT_SOIL = erf$B_CT_SOIL
B_CT_WATER = erf$B_CT_WATER
B_CT_CLIMATE = erf$B_CT_CLIMATE
B_CT_BIO = erf$B_CT_BIO
B_CT_LANDSCAPE = erf$B_CT_LANDSCAPE
D_SA_W = 100
measures = NULL
sector = 'dairy'
# run example 1 without any measures taken
test <- er_meas_rank(B_SOILTYPE_AGR = c('dekzand', 'loess', 'rivierklei','veen'),
B_LU_BBWP = c('gras_permanent','rooivrucht','rooivrucht','mais'),
B_LU_BRP = c(265,2741,2741,259),
B_LU_ARABLE_ER = c(F,T,T,T),
B_LU_PRODUCTIVE_ER = c(T,T,T,T),
B_LU_CULTIVATED_ER = c(T,T,T,T),
B_GWL_CLASS = 'GtIII',
A_P_SG = 25,
B_SLOPE_DEGREE = rep(2.5,4),
B_AER_CBS = c("Bouwhoek en Hogeland","LG14","LG12","Westelijk Holland"),
M_DRAIN = TRUE,
D_SA_W = 0.5,
B_AREA = c(450000,180000,8000,60000),
B_CT_SOIL = B_CT_SOIL,
B_CT_WATER = B_CT_WATER,
B_CT_CLIMATE = B_CT_CLIMATE,
B_CT_BIO = B_CT_BIO,
B_CT_LANDSCAPE = B_CT_LANDSCAPE,
measures = NULL,
sector = 'dairy'
)
test_that("check er_meas_rank", {
expect_equal(
object = dim(test),
expected = c(20,8),
tolerance = 0.01)
})
test_that("check er_meas_rank", {
expect_equal(
object = colnames(test),
expected = c('id',"top_er_tot","top_er_soil","top_er_water","top_er_climate","top_er_biodiversity","top_er_landscape","top_er_reward"),
tolerance = 0.01)
})
test_that("check er_meas_rank", {
expect_equal(
object = test$top_er_tot[c(1,4,9,15)],
expected = c("B162",'B139','B145','B145'),
tolerance = 0.01)
})
# get internal table with measures
dt.measures <- as.data.table(BBWPC::bbwp_measures)
dt.measures <- dt.measures[!is.na(eco_id)]
# make measurement list for 2 of the 4 fields
measures <- rbind(data.table(id = 1, dt.measures[grepl('B189|G50|G3|B137|B172|G84',bbwp_id)]),
data.table(id = 3, dt.measures[grepl('B135|G84|B118|G58|B146',bbwp_id)]))
measures$bbwp_status <- 'given for ANLB'
# run example 2 without any measures taken
test <- er_meas_rank(B_SOILTYPE_AGR = c('dekzand', 'loess', 'rivierklei','veen'),
B_LU_BBWP = c('gras_permanent','rooivrucht','rooivrucht','mais'),
B_LU_BRP = c(265,2741,2741,259),
B_LU_ARABLE_ER = c(F,T,T,T),
B_LU_PRODUCTIVE_ER = c(T,T,T,T),
B_LU_CULTIVATED_ER = c(T,T,T,T),
B_GWL_CLASS = 'GtIII',
A_P_SG = 25,
B_SLOPE_DEGREE = rep(2.5,4),
B_AER_CBS = c("Bouwhoek en Hogeland","LG14","LG12","Westelijk Holland"),
M_DRAIN = TRUE,
D_SA_W = 0.5,
B_AREA = c(450000,180000,8000,60000),
B_CT_SOIL = B_CT_SOIL,
B_CT_WATER = B_CT_WATER,
B_CT_CLIMATE = B_CT_CLIMATE,
B_CT_BIO = B_CT_BIO,
B_CT_LANDSCAPE = B_CT_LANDSCAPE,
measures = measures,
sector = 'dairy'
)
test_that("check er_meas_rank", {
expect_equal(
object = dim(test),
expected = c(20,8),
tolerance = 0.01)
})
test_that("check er_meas_rank", {
expect_equal(
object = colnames(test),
expected = c('id',"top_er_tot","top_er_soil","top_er_water","top_er_climate","top_er_biodiversity","top_er_landscape","top_er_reward"),
tolerance = 0.01)
})
test_that("check er_meas_rank", {
expect_equal(
object = test$top_er_tot[c(1,4,8,15)],
expected = c("B132", "B171", "B155", "B145"),
tolerance = 0.01)
})
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