Elasticsearch Geo

Elasticsearch, the widely-used distributed search and analytics engine, includes comprehensive geospatial capabilities through its geo_point and geo_shape data types. These features enable applications to perform proximity searches, bounding boxBounding BoxA bounding box is the minimum axis-aligned rectangle that completely encloses a geographic feature or dataset, define... queries, polygon containment tests, distance-based sorting, and spatial aggregations across billions of documents at sub-second response times. Elasticsearch's geo_point type indexes latitude/longitude coordinates and supports queries including geo_distance (find documents within a radius), geo_bounding_box (find documents within a rectangle), and geo_polygon (find documents within an arbitrary polygon). The geo_shape type handles complex geometries including points, lines, polygons, and multi-geometries, supporting spatial relationship queries like intersects, contains, within, and disjoint. Geo-aggregations enable spatial analytics including geohash grids, geotile grids, geo-centroid calculations, and geo-bounds computation for visualizing data density on maps. Elasticsearch Geo is widely used for building location-aware search features in applications such as store locators, real estate search, delivery radius filtering, fleet tracking dashboards, and points-of-interest discovery. Its combination of full-text search with geospatial filtering enables queries like "find Italian restaurants within 2km of me sorted by rating." Integration with Kibana provides map-based visualization of geospatial dataGeospatial DataGeospatial data encompasses information about the location, shape, and relationships of physical features on Earth. I... through the Maps application, enabling interactive exploration of location data without custom development.