good

analyses/tree_density_methodology.ipynb

@@ -50,13 +50,10 @@
     "    sys.path.insert(0, str(ROOT))\n",
     "\n",
     "from pipeline.transform.tree_density import (  # noqa: E402\n",
-    "    DEFAULT_TOW_TYPES,\n",
     "    _layers,\n",
     "    _metric_columns,\n",
-    "    _parse_csv_arg,\n",
     "    _postcode_points,\n",
     "    _tow_dataset_path,\n",
-    "    _where_for_tow_types,\n",
     ")\n",
     "\n",
     "DATA_DIR = ROOT / \"property-data\"\n",
@@ -72,7 +69,6 @@
     "BOUNDARY_EXPANSION_M = 50\n",
     "CANDIDATE_SAMPLE_SIZE = 60\n",
     "\n",
-    "tow_types = _parse_csv_arg(\",\".join(DEFAULT_TOW_TYPES))\n",
     "density_col, area_col, count_col, height_col = _metric_columns(50)\n"
    ]
   },
@@ -127,14 +123,12 @@
     "def intersecting_tow_features(dataset_path: str, layer_names: list[str], target_bng):\n",
     "    bbox = target_bng.bounds\n",
     "    rows = []\n",
-    "    where = _where_for_tow_types(tow_types)\n",
     "\n",
     "    for layer in layer_names:\n",
     "        with pyogrio.open_arrow(\n",
     "            dataset_path,\n",
     "            layer=layer,\n",
     "            columns=[\"Woodland_Type\", \"TOW_Area_M\", \"MEANHT\"],\n",
-    "            where=where,\n",
     "            bbox=bbox,\n",
     "            batch_size=4096,\n",
     "            use_pyarrow=True,\n",