ee.FeatureCollection.aggregate_total_var

  • Calculates the total variance of a specified property across objects in a FeatureCollection.

  • Takes a FeatureCollection and the name of the property as arguments.

  • Returns a single numerical value representing the total variance.

 Aggregates over a given property of the objects in a collection, calculating the total variance of the values of the selected property.

UsageReturns
FeatureCollection.aggregate_total_var(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('Total variance of power plant capacities (MW)',
      fc.aggregate_total_var('capacitymw'));  // 214307.38335169878

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"')

display('Total variance of power plant capacities (MW):',
        fc.aggregate_total_var('capacitymw'))  # 214307.38335169878