ee.FeatureCollection.aggregate_sample_sd
Aggregates over a given property of the objects in a collection, calculating the sample std. deviation of the values of the selected property.
Usage | Returns | FeatureCollection.aggregate_sample_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('Sample std. deviation of power plant capacities (MW)',
fc.aggregate_sample_sd('capacitymw')); // 466.480889231
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('Sample std. deviation of power plant capacities (MW):',
fc.aggregate_sample_sd('capacitymw').getInfo()) # 466.480889231
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["`aggregate_sample_sd` calculates the sample standard deviation of a specified property within a FeatureCollection."],["It takes the FeatureCollection and the property name as input."],["The function returns a single numeric value representing the sample standard deviation."],["This function is useful for understanding the dispersion or variability of a property within a collection of geographic features."]]],[]]