Work with geo-temporal data

Use the Flux Geo package to filter geo-temporal data and group by geographic location or track.

To work with geo-temporal data:

1. Import the experimental/geo package.

   import "experimental/geo"
   

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2. Load geo-temporal data. See below for sample geo-temporal data.

3. Do one or more of the following:

   • Shape data to work with the Geo package
   • Filter data by region (using strict or non-strict filters)
   • Group data by area or by track

import "experimental/geo"

sampleGeoData
    |> geo.shapeData(latField: "latitude", lonField: "longitude", level: 10)

import "experimental/geo"

sampleGeoData
    |> geo.filterRows(region: {lat: 30.04, lon: 31.23, radius: 200.0}, strict: true)

import "experimental/geo"

sampleGeoData
    |> geo.groupByArea(newColumn: "geoArea", level: 5)
    |> geo.asTracks(groupBy: ["id"],sortBy: ["_time"])

Sample data

Many of the examples in this section use a sampleGeoData variable that represents a sample set of geo-temporal data. The Bird Migration Sample Data provides sample geo-temporal data that meets the requirements of the Flux Geo package.

Load bird migration sample data

Use the sample.data() function to load the sample bird migration data:

import "influxdata/influxdb/sample"

sampleGeoData = sample.data(set: "birdMigration")