Identifying amenity hotspots in Stockholm
In this example we are going to identify hotspots of amenity POIs in Stockholm using OpenStreetMap data and the GETIS_ORD_H3 function of the statistics module. POIs data can be found in the publicly available
The process consists of three simple steps:
- First, we retrieve all POIs from OpenstreetMaps which belong to the category “amenity”.
- Next, we find the H3 cell of resolution 9 to which each POI belongs and count the number of amenity POIs inside each cell.
- Finally, we call the GETIS_ORD_H3 function, which returns the Getis-Ord Gi* statistic for each H3 cell, calculated over n_amenity_pois (number of amenity POIs in the cell).
The results can be explored in the map below, where we can use the histogram widget to narrow down the cells with the highest Gi* values, which correspond to the location of the hotspots of amenity POIs in Stockholm.