ee.FeatureCollection.draw

  • draw() visualizes FeatureCollections as images for display purposes, not for algorithmic input.

  • It accepts color, point radius, and stroke width parameters to customize the visualization.

  • Use draw() with FeatureCollections to create image overlays for maps, as demonstrated with the power plants example.

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

UsageReturns
FeatureCollection.draw(color, pointRadius, strokeWidth)Image
ArgumentTypeDetails
this: collectionFeatureCollectionThe collection to draw.
colorStringA hex string in the format RRGGBB specifying the color to use for drawing the features.
pointRadiusInteger, default: 3The radius in pixels of the point markers.
strokeWidthInteger, default: 2The 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