ee.FeatureCollection.aggregate_total_sd

AI-generated Key Takeaways

• The aggregate_total_sd method calculates the total standard deviation of a specified property across all objects within a FeatureCollection.

• It requires the FeatureCollection to aggregate over and the string name of the property to calculate the standard deviation for.

• The method returns a single Number representing the calculated total standard deviation.

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

Usage	Returns
FeatureCollection.aggregate_total_sd(property)	Number

Argument	Type	Details
this: collection	FeatureCollection	The collection to aggregate over.
property	String	The 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 std. deviation of power plant capacities (MW)',
      fc.aggregate_total_sd('capacitymw'));  // 462.9334545609107

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('Total std. deviation of power plant capacities (MW):',
      fc.aggregate_total_sd('capacitymw').getInfo())  # 462.9334545609107