Spatial Features is a dataset curated by CARTO providing access to a set of location-based features with global coverage that have been unified in common geographic supports (eg. Quadgrid). This product has been specially designed to facilitate spatial modeling at scale. Spatial Features includes core demographic and environmental data, and POI aggregations by category that have been generated by processing and unifying globally available sources such as Worldpop, OpenStreetMap, Nasa and Worldclim. This listing offers public access to the data in Spain aggregated at the Quadgrid level 15 (with grid cells of approximately 1x1km) and H3 grid resolution 8.
Tables Included:
- Spatial Features - USA data - Quadgrid level 15 (1x1km)
- Spatial Features - USA data - H3 grid resolution 8
Fields Included:
- Total Population
- Population by gender
- Population by age
- Points of Interest by category (retail, transportation, tourism, healthcare, etc.)
- Urbanity level
- Elevation
- Climatology
You can check these datasets metadata and dictionary in CARTO’s Spatial Data Catalog: https://carto.com/spatial-data-catalog/browser/dataset/cdb_spatial_fea_94e6b1f/
Example Use Case:
Incorporate geospatial signals into your revenue prediction model by enriching the trade areas of each of your stores with CARTO Spatial Features to characterize each of them based on the demographics and points of interest surrounding them. Understand how the different spatial features impact your sales across your business footprint and use them to predict your sales potential in parts of the territory where you do not have presence. How do your sales per store vary depending on the age and gender of the population surrounding them? Do you sell more when your stores are located near tourism attractions? How much more?