make luc_sectors explicit and allow Gridder to be instatiated with them

src/aneris/downscaling/core.py

@@ -43,6 +43,7 @@ def __init__(
         hist: DataFrame,
         year: int,
         region_mapping: Series,
+        luc_sectors: Sequence[str] = [],
         index: Sequence[str] = DEFAULT_INDEX,
         method_choice: Optional[callable] = None,
         return_type=DataFrame,
@@ -80,6 +81,7 @@ def __init__(
         self.intensity_method = None
         self.luc_method = None
         self.method_choice = None
+        self.luc_sectors = luc_sectors
 
     @property
     def index(self):
@@ -207,6 +209,7 @@ def methods(self, method_choice=None, overwrites=None):
             "fallback_method": self.fallback_method,
             "intensity_method": self.intensity_method,
             "luc_method": self.luc_method,
+            "luc_sectors": self.luc_sectors,
         }
 
         hist_agg = (

src/aneris/downscaling/methods.py

@@ -66,7 +66,7 @@ def simple_proxy(
     proxy_name: str,
 ) -> DataFrame:
     """
-    Downscales emission data using the shares in a proxy scenario
+    Downscales emission data using the shares in a proxy scenario.
 
     Parameters
     ----------
@@ -161,18 +161,20 @@ def default_method_choice(
     fallback_method="proxy_gdp",
     intensity_method="ipat_2100_gdp",
     luc_method="base_year_pattern",
+    luc_sectors=None,
 ):
     """
     Default downscaling decision tree.
     """
+    luc_sectors = luc_sectors or ("Agriculture", "LULUCF")
 
     # special cases
     if traj.h == 0:
         return fallback_method
     if traj.zero_m:
         return fallback_method
 
-    if traj.get("sector", None) in ("Agriculture", "LULUCF"):
+    if traj.get("sector", None) in luc_sectors:
         return luc_method
 
     return intensity_method