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title: GeoFire: Location Queries for Fun and Profit | daily.dev
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# GeoFire: Location Queries for Fun and Profit

**[Firebase](https://daily.dev/sources/firebase-blog)** · 4 min read · 0 upvotes · 0 comments

## Summary

GeoFire, a new geospatial library for Firebase, was released to let developers add real-time, location-based features to apps without implementing distance calculations or location indexing themselves. It works by converting latitude-longitude pairs into geohashes stored in Firebase, then running prefix queries over those geohashes to support localized search and real-time location tracking. Simple function calls like insertByLocWithId, updateLocForId, and onPointsNearLoc handle storing, updating, and querying nearby points, with results updating live as locations change.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://firebase.blog/posts/2013/09/geofire-location-queries-for-fun-and>

## Questions this post answers

### What is GeoFire and how does it work with Firebase for location-based queries?

GeoFire is a geospatial library for Firebase that adds real-time, location-based search and tracking to apps. It converts latitude-longitude pairs into geohashes, stores them in Firebase, and runs prefix queries over those geohashes to find nearby points. Functions like insertByLocWithId, updateLocForId, and onPointsNearLoc handle storing, updating, and querying locations, with search results updating automatically as locations change.

_Developers weighing geospatial approaches for their apps can track library updates like this on daily.dev._

### How does geohashing enable localized search in a database like Firebase?

Geohashing converts a latitude-longitude pair into an alphanumeric string by interleaving the bit representations of both coordinates and base32-encoding the result. Points with similar geohashes are guaranteed to be near each other, though nearby points don't always share similar geohashes. Localized search then runs as a series of prefix queries over these geohashes, with the queried prefixes depending on search radius and zoom resolution.

_Anyone building location search features can follow geospatial technique breakdowns like this on daily.dev._

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---

Tags: [#javascript](https://daily.dev/tags/javascript), [#backend](https://daily.dev/tags/backend), [#firebase](https://daily.dev/tags/firebase)

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