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| --- | ||
| source: "blog" | ||
| title: "anitagraser.com: Mapping relationships between Neo4j spatial nodes with GeoPandas" | ||
| image: "mapping-relationships-between-neo4j-spatial-nodes-with-geopandas." | ||
| date: "2023-12-09" | ||
| link: "https://anitagraser.com/2023/12/09/mapping-relationships-between-neo4j-spatial-nodes-with-geopandas/" | ||
| draft: "true" | ||
| showcase: "planet" | ||
| --- | ||
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| <p>Previously, <a href="https://anitagraser.com/2023/12/03/mapping-neo4j-spatial-nodes-with-geopandas/">we mapped neo4j spatial nodes</a>. This time, we want to take it one step further and map relationships. </p> | ||
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| <p>A prime example, are the relationships between GTFS StopTime and Trip nodes. For example, this is the Cypher query to get all StopTime nodes of Trip 17:</p> | ||
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| <div class="wp-block-syntaxhighlighter-code "><pre class="brush: sql; title: ; notranslate"> | ||
| MATCH | ||
| (t:Trip {id: "17"}) | ||
| <-[:BELONGS_TO]- | ||
| (st:StopTime) | ||
| RETURN st | ||
| </pre></div> | ||
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| <figure class="wp-block-image size-large"><a href="https://underdark.files.wordpress.com/2023/12/image-5.png"><img width="1024" height="544" data-attachment-id="8684" data-permalink="https://anitagraser.com/2023/12/09/mapping-relationships-between-neo4j-spatial-nodes-with-geopandas/image-5-8/" data-orig-file="https://underdark.files.wordpress.com/2023/12/image-5.png" data-orig-size="1214,645" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="image-5" data-image-description="" data-image-caption="" data-medium-file="https://underdark.files.wordpress.com/2023/12/image-5.png?w=300" data-large-file="https://underdark.files.wordpress.com/2023/12/image-5.png?w=545" src="https://underdark.files.wordpress.com/2023/12/image-5.png?w=1024" alt="" class="wp-image-8684" srcset="https://underdark.files.wordpress.com/2023/12/image-5.png?w=1024 1024w, https://underdark.files.wordpress.com/2023/12/image-5.png?w=150 150w, https://underdark.files.wordpress.com/2023/12/image-5.png?w=300 300w, https://underdark.files.wordpress.com/2023/12/image-5.png?w=768 768w, https://underdark.files.wordpress.com/2023/12/image-5.png 1214w" sizes="(max-width: 1024px) 100vw, 1024px" /></a></figure> | ||
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| <p>To get the stop locations, we also need to get the stop nodes:</p> | ||
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| <div class="wp-block-syntaxhighlighter-code "><pre class="brush: sql; title: ; notranslate"> | ||
| MATCH | ||
| (t:Trip {id: "17"}) | ||
| <-[:BELONGS_TO]- | ||
| (st:StopTime) | ||
| -[:STOPS_AT]-> | ||
| (s:Stop) | ||
| RETURN st ,s | ||
| </pre></div> | ||
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| <figure class="wp-block-image size-large"><a href="https://underdark.files.wordpress.com/2023/12/image-6.png"><img width="895" height="566" data-attachment-id="8687" data-permalink="https://anitagraser.com/2023/12/09/mapping-relationships-between-neo4j-spatial-nodes-with-geopandas/image-6-8/" data-orig-file="https://underdark.files.wordpress.com/2023/12/image-6.png" data-orig-size="895,566" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="image-6" data-image-description="" data-image-caption="" data-medium-file="https://underdark.files.wordpress.com/2023/12/image-6.png?w=300" data-large-file="https://underdark.files.wordpress.com/2023/12/image-6.png?w=545" src="https://underdark.files.wordpress.com/2023/12/image-6.png?w=895" alt="" class="wp-image-8687" srcset="https://underdark.files.wordpress.com/2023/12/image-6.png 895w, https://underdark.files.wordpress.com/2023/12/image-6.png?w=150 150w, https://underdark.files.wordpress.com/2023/12/image-6.png?w=300 300w, https://underdark.files.wordpress.com/2023/12/image-6.png?w=768 768w" sizes="(max-width: 895px) 100vw, 895px" /></a></figure> | ||
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| <p>Adapting our code from the previous post, we can plot the stops: </p> | ||
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| <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate"> | ||
| from shapely.geometry import Point | ||
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| QUERY = """MATCH ( | ||
| t:Trip {id: "17"}) | ||
| <-[:BELONGS_TO]- | ||
| (st:StopTime) | ||
| -[:STOPS_AT]-> | ||
| (s:Stop) | ||
| RETURN st ,s | ||
| ORDER BY st.stopSequence | ||
| """ | ||
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| with driver.session(database="neo4j") as session: | ||
| tx = session.begin_transaction() | ||
| results = tx.run(QUERY) | ||
| df = results.to_df(expand=True) | ||
| gdf = gpd.GeoDataFrame( | ||
| df[['s().prop.name']], crs=4326, | ||
| geometry=df["s().prop.location"].apply(Point) | ||
| ) | ||
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| tx.close() | ||
| m = gdf.explore() | ||
| m | ||
| </pre></div> | ||
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| <figure class="wp-block-image size-large"><a href="https://underdark.files.wordpress.com/2023/12/image-10.png"><img width="527" height="879" data-attachment-id="8696" data-permalink="https://anitagraser.com/2023/12/09/mapping-relationships-between-neo4j-spatial-nodes-with-geopandas/image-10-6/" data-orig-file="https://underdark.files.wordpress.com/2023/12/image-10.png" data-orig-size="527,879" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="image-10" data-image-description="" data-image-caption="" data-medium-file="https://underdark.files.wordpress.com/2023/12/image-10.png?w=180" data-large-file="https://underdark.files.wordpress.com/2023/12/image-10.png?w=527" src="https://underdark.files.wordpress.com/2023/12/image-10.png?w=527" alt="" class="wp-image-8696" srcset="https://underdark.files.wordpress.com/2023/12/image-10.png 527w, https://underdark.files.wordpress.com/2023/12/image-10.png?w=90 90w, https://underdark.files.wordpress.com/2023/12/image-10.png?w=180 180w" sizes="(max-width: 527px) 100vw, 527px" /></a></figure> | ||
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| <p>Ordering by stop sequence is actually completely optional. Technically, we could use the sorted GeoDataFrame, and aggregate all the points into a linestring to plot the route. But I want to try something different: we’ll use the NEXT_STOP relationships to get a DataFrame of the start and end stops for each segment: </p> | ||
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| <div class="wp-block-syntaxhighlighter-code "><pre class="brush: python; title: ; notranslate"> | ||
| QUERY = """ | ||
| MATCH (t:Trip {id: "17"}) | ||
| <-[:BELONGS_TO]- | ||
| (st1:StopTime) | ||
| -[:NEXT_STOP]-> | ||
| (st2:StopTime) | ||
| MATCH (st1)-[:STOPS_AT]->(s1:Stop) | ||
| MATCH (st2)-[:STOPS_AT]->(s2:Stop) | ||
| RETURN st1, st2, s1, s2 | ||
| """ | ||
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| from shapely.geometry import Point, LineString | ||
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| def make_line(row): | ||
| s1 = Point(row["s1().prop.location"]) | ||
| s2 = Point(row["s2().prop.location"]) | ||
| return LineString([s1,s2]) | ||
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| with driver.session(database="neo4j") as session: | ||
| tx = session.begin_transaction() | ||
| results = tx.run(QUERY) | ||
| df = results.to_df(expand=True) | ||
| gdf = gpd.GeoDataFrame( | ||
| df[['s1().prop.name']], crs=4326, | ||
| geometry=df.apply(make_line, axis=1) | ||
| ) | ||
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| tx.close() | ||
| gdf.explore(m=m) | ||
| </pre></div> | ||
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| <figure class="wp-block-image size-large"><a href="https://underdark.files.wordpress.com/2023/12/image-11.png"><img loading="lazy" width="527" height="975" data-attachment-id="8698" data-permalink="https://anitagraser.com/2023/12/09/mapping-relationships-between-neo4j-spatial-nodes-with-geopandas/image-11-6/" data-orig-file="https://underdark.files.wordpress.com/2023/12/image-11.png" data-orig-size="527,975" data-comments-opened="1" data-image-meta="{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0"}" data-image-title="image-11" data-image-description="" data-image-caption="" data-medium-file="https://underdark.files.wordpress.com/2023/12/image-11.png?w=162" data-large-file="https://underdark.files.wordpress.com/2023/12/image-11.png?w=527" src="https://underdark.files.wordpress.com/2023/12/image-11.png?w=527" alt="" class="wp-image-8698" srcset="https://underdark.files.wordpress.com/2023/12/image-11.png 527w, https://underdark.files.wordpress.com/2023/12/image-11.png?w=81 81w, https://underdark.files.wordpress.com/2023/12/image-11.png?w=162 162w" sizes="(max-width: 527px) 100vw, 527px" /></a></figure> | ||
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| <p>And here’s the notebook: <a href="https://github.com/anitagraser/QGIS-resources/blob/master/qgis3/notebooks/neo4j.ipynb">https://github.com/anitagraser/QGIS-resources/blob/master/qgis3/notebooks/neo4j.ipynb</a> </p> |
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content/community-blogs/setting-up-a-graph-db-using-gtfs-data-neo4j.
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| --- | ||
| source: "blog" | ||
| title: "maptiler.com: Vector basemaps in QGIS" | ||
| title: "maptiler.com: Say hello to the new QGIS plugin" | ||
| image: "www.maptiler.com." | ||
| date: "2023-11-22" | ||
| link: "https://www.maptiler.com/" | ||
| draft: "true" | ||
| showcase: "planet" | ||
| --- | ||
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| The new version of the MapTiler plugin pushes our maps from MapTiler Cloud almost to perfection | ||
| Open-source plugin for QGIS that loads fast vector maps. Change colors and fonts of the map to get unique look. |