Export rentals trip path data

This will help visualize the data on sites like kepler.gl

This option will export all the rentals in your system for a given time range in GeoJSON format. You will find the "Export Routes" button is on the "Rentals" section next to the "Export" button.

After you hit export, and once our servers are done with processing your data, you will receive an email with a zipped file. This contains your rentals location information . Exporting the file can take a few minutes if the volume of the rentals/locations is high.

The file will be compressed with the zip format and will also have a timestamp on the file name, ie: movatic_data_2023-07-20_160035.json.zip

Visualizing the data

You can use the exported GeoJSON data to map and visualize the trip paths of your users with tools such as Kepler. You can create layers and filter the data according to your needs.

Before uploading your GeoJSON file to Kepler, make sure to unzippe it first.

To see the data in Polygon and Trip layers, please refer to this video. For the rest you can follow the instructions in this and this video.


On a Polygon layer you can see the rental ID, reporter name (which can be user's device or the rented hardware and other hardware assigned to it with GPS capabilities).


On a Trip layer you can see the animated path of the rentals. This layer provides playback controls which you can use to slowdown, pause or speed up the visualization.

You can also pause the visualization and click one of the trails to get more information about that particular rental.


With the Points layer we can see all the gathered coordinates of each rental as points in the map.


With the Arc layer we can see an "Arc" between the start and end point of the rental.

For a better appreciation of this layer, we recommend to set the visualization as 3D map:

Set different colors for the start (source) and end (target) sides of the arc.


In a Line layer, you will see a straight line between the start and end rental points.


With the Grid layer, you can visualize the points grouped in cells which have different colors depending on the density.


The Hexbin layer is similar to a Grid layer but with a different style.


The Cluster layer allows you to see grouped data. The visualization can be more or less grouped depending on the desired zoom on the map.

You can also manipulate the radius of the layer to group more or less points as needed.


In a Heatmap layer the data or points of the rentals overlap creating zones in the map that provide visual cues of the density of the points.

To have a better understanding of the colors and density, you can see the legend of each layer by clicking the "Show Legend" button in the upper right corner.

We recommend renaming the layers so that you're able to find the legend of the desired layer more easily.

Last updated