In this example, we want to search near a certain location for points of interest such as churches, schools, resturants, shops, pubs and tourist attractions. The POI information is fetched from OpenStreetMap.
The goal here is to find restaurants within a given distance around a given search location. Given the latitude and longitude of the location of interest we start by creating the search area. To do so we first project the given coordinates into a coordinate reference system that uses meter as unit. Once this is done we can use the Buffer node to create a 5km search area around the given location. This information is send to OpenStreetMap to find all restaurants within the area. Finally, we use the Geospatial View node to visualize the resturants and their locations on an interactive map.
Geospatial Analytics is fully developed in Python, e.g. the Geopandas library, which was heavily used to write the nodes. All the nodes provided with the extension are the perfect toolkit to apply geospatial technologies in a no-code/low-code way, so also beginners can benefit from this kind of analysis.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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