ee.FeatureCollection.draw

Page Summary

• Paints a vector collection to an Image for visualization.

• Not intended for use as input to other algorithms.

• The draw function takes color, pointRadius, and strokeWidth as arguments to customize the visualization.

• Examples are provided in JavaScript and Python using the Earth Engine Code Editor and Colab.

Paints a vector collection for visualization. Not intended for use as input to other algorithms.

Usage	Returns
FeatureCollection.draw(color, pointRadius, strokeWidth)	Image

Argument	Type	Details
this: collection	FeatureCollection	The collection to draw.
color	String	A hex string in the format RRGGBB specifying the color to use for drawing the features.
pointRadius	Integer, default: 3	The radius in pixels of the point markers.
strokeWidth	Integer, default: 2	The width in pixels of lines and polygon borders.

Examples

Code Editor (JavaScript)

// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
            .filter('country_lg == "Belgium"');

// Paint FeatureCollection to an image for visualization.
var fcVis = fc.draw({color: '800080', pointRadius: 5, strokeWidth: 3});
Map.setCenter(4.56, 50.78, 8);
Map.addLayer(fcVis);

Python setup

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap

Colab (Python)

# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
    'country_lg == "Belgium"'
)

# Paint FeatureCollection to an image for visualization.
fc_vis = fc.draw(color='800080', pointRadius=5, strokeWidth=3)
m = geemap.Map()
m.set_center(4.56, 50.78, 8)
m.add_layer(fc_vis)
m