AI-generated Key Takeaways
-
The
aggregate_sample_varmethod calculates the sample variance of a specified property for objects in a FeatureCollection. -
This method is available for
FeatureCollectionobjects and returns a single numerical value representing the sample variance. -
It requires two arguments: the FeatureCollection to operate on and a string specifying the property to analyze.
| 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
Code Editor (JavaScript)
// 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
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 ( 'Sample variance of power plant capacities (MW):' , fc . aggregate_sample_var ( 'capacitymw' )) # 217604.420018647
