ee.FeatureCollection.aggregate_sample_var
Aggregates over a given property of the objects in a collection, calculating the sample variance of the values of the selected property.
Usage | Returns |
---|
FeatureCollection.aggregate_sample_var(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
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Sample variance of power plant capacities (MW)',
fc.aggregate_sample_var('capacitymw')); // 217604.420018647
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
# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
'country_lg == "Belgium"')
print('Sample variance of power plant capacities (MW):',
fc.aggregate_sample_var('capacitymw').getInfo()) # 217604.420018647
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["`aggregate_sample_var` calculates the sample variance of a specified property within a FeatureCollection."],["It takes the FeatureCollection and the property name as input."],["The result is a single number representing the sample variance of the selected property across all features in the collection."],["This function is useful for understanding the spread or dispersion of a particular feature property within a dataset."]]],[]]