Reverse Geocoding

This workflow demonstrates how to utilize the Reverse Geocoding node to acquire the addresses of Seattle's top five bike stations based on their geometry points.

To use the workflow, download and run it on the KNIME Analytics Platform. For optimal performance using the Geospatial Analytics extension, make sure you are using version 4.7.4 or higher.

We obtained information from the workflow data area, which included a dataset that lists Seattle's top five bike stations based on the number of trips taken. For more information about the dataset's source, please refer to the "External resources" link.

To convert the "lat" and "long" columns into Geometry points, we utilize the "Lat/Lon on to Geometry" node. Additionally, we enhance precision by configuring the CRS (Coordinate Reference System) with the "epsg:4269" code, especially since we are referring to a US area (Seattle, to be exact).

We use the "Reverse Geocoding" node to turn geometry points into addresses. Double-click and configure the node by selecting "arcgis" as the service provider. No API key is necessary with this provider. Once the node has been executed, a new " address " column will be added with point directions.

To finalize, we utilize the "Geospatial View" node to plot the points onto a map. The name of the bike station and the address, which were generated in the previous step, serve as the tooltip and marker.

External resources

• Cycle Share Dataset