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ee.FeatureCollection.aggregate_mean

AI-generated Key Takeaways

Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.
The aggregate_mean function takes a FeatureCollection and a string property as arguments.
It returns a Number representing the mean of the specified property across the collection.

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

Code Editor (JavaScript)

 // 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

Colab (Python)

 # FeatureCollection of power plants in Belgium. 
 fc 
 = 
 ee 
 . 
 FeatureCollection 
 ( 
 'WRI/GPPD/power_plants' 
 ) 
 . 
 filter 
 ( 
 'country_lg == "Belgium"' 
 ) 
 display 
 ( 
 'Mean of power plant capacities (MW):' 
 , 
 fc 
 . 
 aggregate_mean 
 ( 
 'capacitymw' 
 )) 
 # 201.342424242

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AI-generated Key Takeaways

Examples

Code Editor (JavaScript)

Colab (Python)

ee.FeatureCollection.aggregate_mean