diff --git a/notebooks/osm/01-visualise-osm.py b/notebooks/osm/01-visualise-osm.py
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+++ b/notebooks/osm/01-visualise-osm.py
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+"""Visualise OMS spatial features."""
+from pyprojroot import here
+import pandas as pd
+import geopandas as gpd
+from shapely import Point
+from transport_performance.osm import validate_osm as osmval
+
+# %%
+FIX_PTH = here("tests/data/newport-2023-06-13.osm.pbf")
+
+# %%
+# get some Node IDs to work with
+
+nodes = osmval.FindIds(FIX_PTH)
+nodes.get_feature_ids()
+some_IDs = nodes.id_dict["node_ids"][0:100]
+
+# %%
+# get the locations
+locs = osmval.FindLocations(FIX_PTH)
+some_coords = locs.check_locs_for_ids(some_IDs, "node")
+# %%
+# get the contextual information in the tags, though note these
+# be blank for nodes
+# tags = osmval.FindTags(FIX_PTH)
+# some_tags = tags.check_tags_for_ids(some_IDs, "node")
+# all of the found tags are blank. TODO: find a populated example.
+
+# %%
+all_coords = pd.DataFrame()
+for key, values in some_coords["node"].items():
+    coord_row = pd.DataFrame(values, index=[key])
+    all_coords = pd.concat([all_coords, coord_row])
+
+# %%
+all_coords["geometry"] = [
+    Point(xy) for xy in zip(all_coords["lon"], all_coords["lat"])
+]
+
+# %%
+coords_gdf = gpd.GeoDataFrame(all_coords, crs=4326)
+coords_gdf.explore()
+
+# %%
+# %%