---
title: Group geo-temporal data
description: Use the geo.groupByArea() to group geo-temporal data by area and geo.asTracks() to group data into tracks or routes.
url: https://docs.influxdata.com/influxdb/v1/flux/guides/geo/group-geo-data/
estimated_tokens: 1422
product: InfluxDB OSS v1
version: v1
---

# Group geo-temporal data

This page documents an earlier version of InfluxDB OSS. [InfluxDB 3 Core](/influxdb3/core/) is the latest stable version.

Use the `geo.groupByArea()` to group geo-temporal data by area and `geo.asTracks()` to group data into tracks or routes.

-   [Group data by area](#group-data-by-area)
-   [Group data into tracks or routes](#group-data-by-track-or-route)

### Group data by area

Use the [`geo.groupByArea()` function](/flux/v0/stdlib/experimental/geo/groupbyarea/) to group geo-temporal data points by geographic area. Areas are determined by [S2 grid cells](https://s2geometry.io/devguide/s2cell_hierarchy.html#s2cellid-numbering)

-   Specify a new column to store the unique area identifier for each point with the `newColumn` parameter.
-   Specify the [S2 cell level](https://s2geometry.io/resources/s2cell_statistics) to use when calculating geographic areas with the `level` parameter.

The following example uses the [sample bird migration data](/influxdb/v1/flux/guides/geo/#sample-data) to query data points within 200km of Cairo, Egypt and group them by geographic area:

```js
import "experimental/geo"

sampleGeoData
  |> geo.filterRows(region: {lat: 30.04, lon: 31.23, radius: 200.0})
  |> geo.groupByArea(
    newColumn: "geoArea",
    level: 5
  )
```

### Group data by track or route

Use [`geo.asTracks()` function](/flux/v0/stdlib/experimental/geo/astracks/) to group data points into tracks or routes and order them by time or other columns. Data must contain a unique identifier for each track. For example: `id` or `tid`.

-   Specify columns that uniquely identify each track or route with the `groupBy` parameter.
-   Specify which columns to sort by with the `orderBy` parameter. Default is `["_time"]`.

The following example uses the [sample bird migration data](/influxdb/v1/flux/guides/geo/#sample-data) to query data points within 200km of Cairo, Egypt and group them into routes unique to each bird:

```js
import "experimental/geo"

sampleGeoData
  |> geo.filterRows(region: {lat: 30.04, lon: 31.23, radius: 200.0})
  |> geo.asTracks(
    groupBy: ["id"],
    orderBy: ["_time"]
  )
```

#### Related

-   [geo package](/flux/v0/stdlib/experimental/geo/)
-   [geo.groupByArea() function](/flux/v0/stdlib/experimental/geo/groupbyarea/)
-   [geo.asTracks() function](/flux/v0/stdlib/experimental/geo/astracks/)