feat: adding winck_2015, closes #57

parameters/b_winck_2015_1.csv

@@ -0,0 +1,7 @@
+response,zone,geographic_region,a,b,c
+bt,1,North and High area of Mission,-3.36,2.12,0.65
+bt,2,Southern Misiones and Correntes NE,-3.32,2.12,0.65
+bs,1,North and High area of Mission,-4.51,1.83,1.22
+bs,2,Southern Misiones and Correntes NE,-4.48,1.83,1.22
+bb,1,North and High area of Mission,-2.68,3.73,-1.77
+bb,2,Southern Misiones and Correntes NE,-2.67,3.73,-1.77

parameters/br_winck_2015.csv

@@ -0,0 +1,5 @@
+response,zone,geographic_region,size_class,a,b,c
+br,1,North and High area of Mission,>= 5 cm,-4.53,5.65,-5.93
+br,2,Southern Misiones and Correntes NE,>= 5 cm,-4.37,5.65,-5.93
+br,1,North and High area of Mission,< 5 cm,-1.81,2.67,-1.09
+br,2,Southern Misiones and Correntes NE,< 5 cm,-1.71,2.67,-1.09

publications/u_z/winck_2015.R

@@ -0,0 +1,96 @@
+winck_2015 <- Publication(
+  citation = RefManageR::BibEntry(
+    key = "winck_2015",
+    bibtype = "article",
+    title = "Regional prediction models for the aboveground biomass estimation of eucalyptus grandis in Northeastern Argentina",
+    author = "Winck, Rosa and Fassola, Hugo and Barth, Sara Regina and Crechi, Ernesto and Keller, Aldo and Videla, Daniel and Zaderenko, Constantino",
+    year = 2015,
+    month = 7,
+    pages = "595--606",
+    volume = 25,
+    journal = "Ciencia Florestal",
+    doi = "https://doi.org/10.5902/1980509819611"
+  ),
+  descriptors = list(
+    country = "AR",
+    taxa = Taxa(
+      Taxon(
+        family = "Myrtaceae",
+        genus = "Eucalyptus",
+        species = "grandis"
+      )
+    )
+  )
+)
+
+b_param_sets <- load_parameter_frame("b_winck_2015_1") %>%
+  split(.$response)
+
+# Do first 3 biomass model sets
+for(i in seq_along(b_param_sets)) {
+  response_name <- names(b_param_sets)[[i]]
+
+  response <- list()
+  response[[response_name]] <- units::as_units("kg")
+
+  mod_set <- FixedEffectsSet(
+    response = response,
+    covariates = list(
+      dsob = units::as_units("cm"),
+      hst = units::as_units("m")
+    ),
+    parameter_names = c("a", "b", "c"),
+    predict_fn = function(dsob, hst) {
+      exp(a + b * log(dsob) + c * log(hst))
+    },
+    model_specifications = b_param_sets[[i]]
+  )
+
+  winck_2015 <- winck_2015 %>% add_set(mod_set)
+}
+
+# Do diameter-specific branch biomass
+bb_dias <- FixedEffectsSet(
+  response = list(
+    bb = units::as_units("kg")
+  ),
+  covariates = list(
+    dsob = units::as_units("cm"),
+    hst = units::as_units("m")
+  ),
+  parameter_names = c("a", "b", "c"),
+  predict_fn = function(dsob, hst) {
+    exp(a + b * log(dsob) + c * log(hst))
+  },
+  model_specifications = load_parameter_frame("br_winck_2015")
+)
+
+winck_2015 <- winck_2015 %>% add_set(bb_dias)
+
+# Do foliage biomass
+bf <- FixedEffectsSet(
+  response = list(
+    bf = units::as_units("kg")
+  ),
+  covariates = list(
+    dsob = units::as_units("cm"),
+    hst = units::as_units("m"),
+    att = units::as_units("years"),
+    gs_s = units::as_units("m^2/ha"),
+    es_s = units::as_units("ha^-1")
+  ),
+  parameter_names = c("a", "b", "c", "d", "e", "f"),
+  predict_fn = function(dsob, hst, att, gs_s, es_s) {
+    exp(a + b * dsob + c * hst + d * att + e * gs_s + f * es_s)
+  },
+  model_specifications = tibble::tibble(
+    a = c(-6.12, -5.63),
+    b = c(3.26, 3.26),
+    c = c(-1.08, -1.08),
+    d = c(-0.65, -0.65),
+    e = c(-0.43, -0.43),
+    f = c(0.71, 0.71)
+  )
+)
+
+winck_2015 <- winck_2015 %>% add_set(bf)