AI engineering glossary · Feature engineering data prep
What is geospatial features?
Geospatial features: Features derived from location data, such as distance between two points, distance to a landmark, grid or geohash cell and neighbourhood statistics. They convert raw latitude and longitude into information that models can use.
Geospatial features: an example
For a cab fare model, you compute the haversine distance between pickup and drop coordinates and the pickup's distance to the airport.
Related terms
More Feature engineering data prep terms
- Group-aware splitting
- Hashing trick
- Hashing vectorizer
- Haversine distance
- High-cardinality feature
- Hot-deck imputation
- Information value
- Interaction feature
Where you learn it
Geospatial features is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.