ee.FeatureCollection.aggregate_mean

  • Calculates the mean (average) value of a specified property across all features within a FeatureCollection.

  • Accepts a FeatureCollection and the name of the property to analyze as input.

  • Returns a single numerical value representing the calculated mean.

  • Useful for understanding the central tendency of a property within a dataset, such as average power plant capacity in a region.

 Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.

UsageReturns
FeatureCollection.aggregate_mean(property)Number
ArgumentTypeDetails
this: collectionFeatureCollectionThe collection to aggregate over.
propertyStringThe property to use from each element of the collection.

Examples

Code Editor (JavaScript)

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

print('Mean of power plant capacities (MW)',
      fc.aggregate_mean('capacitymw'));  // 201.342424242

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"')

print('Mean of power plant capacities (MW):',
      fc.aggregate_mean('capacitymw').getInfo())  # 201.342424242