ee.FeatureCollection.draw
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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
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Last updated 2023-10-06 UTC.
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