NeuralBlitz What I do
- Query spatial data efficiently
- Implement location-based queries and services
- Design spatial indexes
- Work with geographic coordinate systems
- Process geospatial data
When to use me
When building location-based services, GIS applications, or any system requiring spatial queries.
Key Concepts
Spatial Data Types
- Points, Lines, Polygons
- MultiPoint, MultiLine, MultiPolygon
- Geometry vs Geography
- Z coordinates (3D)
- M coordinates (measures)
Coordinate Systems
- WGS84 (EPSG:4326)
- Web Mercator (EPSG:3857)
- UTM zones
- Coordinate transformations
- Projected vs geographic CRS
Spatial Indexing
- R-trees
- Quadtrees
- Geohash
- H3 (Uber's hexagonal hierarchy)
- Index optimization
Spatial Functions
- Distance calculations
- Area computations
- Buffer operations
- Union/Intersection
- Point-in-polygon
- Nearest neighbor
Common Queries
- Find points within radius
- Find polygons containing point
- K-nearest neighbors
- Route between points
- Spatial joins
- Heatmap generation
Database Support
- PostGIS (PostgreSQL)
- MySQL spatial extensions
- SQL Server spatial
- Oracle Spatial
- MongoDB geospatial
- Redis geospatial
Use Cases
- Ride-sharing/mapping
- Store locators
- Geofencing
- Asset tracking
- Weather analytics
- Urban planning