diff --git a/api/v1/node.py b/api/v1/node.py
index 2738658..a28feaf 100644
--- a/api/v1/node.py
+++ b/api/v1/node.py
@@ -4,7 +4,7 @@
 
 from fastapi import APIRouter, HTTPException
 from pytz import timezone
-from shapely import Point
+from shapely import get_coordinates
 from tzfpy import get_tz
 
 from middlewares.cache_middleware import configure_cache
@@ -17,8 +17,8 @@
 photo_id_re = re.compile(r'view/(?P<id>\S+)\.')
 
 
-def _get_timezone(position: Point) -> tuple[str | None, str | None]:
-    timezone_name: str | None = get_tz(position.x, position.y)
+def _get_timezone(x: float, y: float) -> tuple[str | None, str | None]:
+    timezone_name: str | None = get_tz(x, y)
     timezone_offset = None
 
     if timezone_name:
@@ -78,9 +78,11 @@ async def get_node(node_id: int):
     if aed is None:
         raise HTTPException(404, f'Node {node_id} not found')
 
+    x, y = get_coordinates(aed.position)[0]
+
     photo_dict = await _get_image_data(aed.tags)
 
-    timezone_name, timezone_offset = _get_timezone(aed.position)
+    timezone_name, timezone_offset = _get_timezone(x, y)
     timezone_dict = {
         '@timezone_name': timezone_name,
         '@timezone_offset': timezone_offset,
@@ -97,8 +99,8 @@ async def get_node(node_id: int):
                 **timezone_dict,
                 'type': 'node',
                 'id': aed.id,
-                'lat': aed.position.y,
-                'lon': aed.position.x,
+                'lat': y,
+                'lon': x,
                 'tags': aed.tags,
                 'version': aed.version,
             }
diff --git a/api/v1/tile.py b/api/v1/tile.py
index 3ed8cfc..66d7c87 100644
--- a/api/v1/tile.py
+++ b/api/v1/tile.py
@@ -66,10 +66,6 @@ async def get_tile(
 
 def _mvt_encode(bbox: BBox, layers: Sequence[dict]) -> bytes:
     with start_span(description='Transforming MVT geometry'):
-        bbox_coords = np.asarray((get_coordinates(bbox.p1)[0], get_coordinates(bbox.p2)[0]))
-        bbox_coords = np.asarray(MVT_TRANSFORMER.transform(bbox_coords[:, 0], bbox_coords[:, 1])).T
-        span = bbox_coords[1] - bbox_coords[0]
-
         coords_range = []
         coords = []
 
@@ -80,17 +76,22 @@ def _mvt_encode(bbox: BBox, layers: Sequence[dict]) -> bytes:
                 coords_range.append((coords_len, coords_len + len(feature_coords)))
                 coords.extend(feature_coords)
 
-        coords = np.asarray(coords)
-        coords = np.asarray(MVT_TRANSFORMER.transform(coords[:, 0], coords[:, 1])).T
-        coords = np.rint((coords - bbox_coords[0]) / span * MVT_EXTENT).astype(int)
-
-        i = 0
-        for layer in layers:
-            for feature in layer['features']:
-                feature_coords_range = coords_range[i]
-                feature_coords = coords[feature_coords_range[0] : feature_coords_range[1]]
-                feature['geometry'] = set_coordinates(feature['geometry'], feature_coords)
-                i += 1
+        if coords:
+            bbox_coords = np.asarray((get_coordinates(bbox.p1)[0], get_coordinates(bbox.p2)[0]))
+            bbox_coords = np.asarray(MVT_TRANSFORMER.transform(bbox_coords[:, 0], bbox_coords[:, 1])).T
+            span = bbox_coords[1] - bbox_coords[0]
+
+            coords = np.asarray(coords)
+            coords = np.asarray(MVT_TRANSFORMER.transform(coords[:, 0], coords[:, 1])).T
+            coords = np.rint((coords - bbox_coords[0]) / span * MVT_EXTENT).astype(int)
+
+            i = 0
+            for layer in layers:
+                for feature in layer['features']:
+                    feature_coords_range = coords_range[i]
+                    feature_coords = coords[feature_coords_range[0] : feature_coords_range[1]]
+                    feature['geometry'] = set_coordinates(feature['geometry'], feature_coords)
+                    i += 1
 
     with start_span(description='Encoding MVT'):
         return mvt.encode(
diff --git a/states/aed_state.py b/states/aed_state.py
index 7c5c780..6313061 100644
--- a/states/aed_state.py
+++ b/states/aed_state.py
@@ -8,7 +8,7 @@
 from cachetools import TTLCache
 from pymongo import DeleteOne, ReplaceOne, UpdateOne
 from sentry_sdk import start_span, start_transaction, trace
-from shapely import Point, points
+from shapely import Point, get_coordinates, points
 from shapely.geometry import mapping
 from shapely.geometry.base import BaseGeometry
 from sklearn.cluster import Birch
@@ -239,9 +239,11 @@ async def get_aed_by_id(aed_id: int) -> AED | None:
     async def get_all_aeds(filter: dict | None = None) -> Sequence[AED]:
         cursor = AED_COLLECTION.find(filter, projection={'_id': False})
         docs = await cursor.to_list(None)
+        if not docs:
+            return ()
+
         coords = tuple(doc['position']['coordinates'] for doc in docs)
         positions = points(coords)
-
         result = [None] * len(docs)
 
         for i, doc, position in zip(range(len(docs)), docs, positions, strict=True):
@@ -262,7 +264,7 @@ async def get_aeds_within_geom(cls, geometry: BaseGeometry, group_eps: float | N
         if len(aeds) <= 1 or group_eps is None:
             return aeds
 
-        positions = tuple((aed.position.x, aed.position.y) for aed in aeds)
+        positions = tuple(get_coordinates(aed.position)[0] for aed in aeds)
 
         # deterministic sampling
         max_fit_samples = 7000