ee.FeatureCollection.aggregate_mean
Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.
Usage | Returns |
---|
FeatureCollection.aggregate_mean(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('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
# 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
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["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."]]],["The `aggregate_mean` function calculates the mean of a specified property across a FeatureCollection. It takes the `FeatureCollection` and the `property` name as inputs. The function returns a Number representing the mean value. For example, using a FeatureCollection of power plants, `aggregate_mean('capacitymw')` computes the mean power plant capacity in megawatts. The provided examples showcase how to implement it in both JavaScript and Python environments.\n"]]