Kepler.gl manual

URL : https://uber.github.io/kepler.gl

Kepler.gl is an open-source project provided by Uber for visualizing geom-data, such as spatial points, trajectories, and so on. It provides many types of layers to visualize your data, such as point, arc, heatmap, ect. This article just introduces some simple functions of Kepler.gl as a record. If you are interested in it or have more insight about it, please leave your comments. I'm looking forward to chatting with you.

add dataset

1 .csv format dataset

Draw Points: dataset should contain columns<name>_lngandname_lat

Draw trajectories: dataset should contain columns<name>_lngand<name>_lat, <name>_lngand<name>_lat

add layer

1. Point

point.jpg

Point layers draw points for a given event or object.

2. Arc

arc.jpg

Arc layers draw an arc between two points. They’re useful for visualizing the distance between two points as well as comparing distances in 3D. Note that arc layers don’t show routes between points, but simply the distance between the two points. The tallest arc represents the greatest distance.

To draw arcs, your dataset must contain the latitude and longitude of two different points for each arc.

3. heatmap

heatmap.jpg

4. Cluster

cluster.png

Cluster layers visualize aggregated data based on a geospatial radius.

5. Icon

Icon layers are a type of point layer. They allow you to differentiate between points by assigning icons to points based on a field. For example, you might use icons to differentiate between types of venues and points of interest.

Icon can also be interpreted as type.

Filter

filter.png

Add filters to your map to limit the data that is displayed. Filters must be based on the columns in your dataset.

Base map

basemap.jpg

There are some map laypers in Base map can be setted to display, such as label, road, border, water and so on.

Interactions

Tooltipcontrols the elements to be displayed.

Tooltip.jpg

Brushcontrols the the circle around your mouse to be displayed.

brush.jpg