ee.FeatureCollection.reduceToImage

 // FeatureCollection of power plants in Belgium. 
 var 
  
 fc 
  
 = 
  
 ee 
 . 
 FeatureCollection 
 ( 
 'WRI/GPPD/power_plants' 
 ) 
  
 . 
 filter 
 ( 
 'country_lg == "Belgium"' 
 ); 
 // Create an image from features; pixel values are determined from reduction of 
 // property values of the features intersecting each pixel. 
 var 
  
 image 
  
 = 
  
 fc 
 . 
 reduceToImage 
 ({ 
  
 properties 
 : 
  
 [ 
 'gwh_estimt' 
 ], 
  
 reducer 
 : 
  
 ee 
 . 
 Reducer 
 . 
 sum 
 () 
 }); 
 // The goal is to sum the electricity generated in 2015 for the power plants 
 // intersecting 10 km cells and view the result as a map layer. 
 // ee.FeatureCollection.reduceToImage does not allow the image projection to be 
 // set because it is waiting on downstream functions that include "crs", 
 // "scale", and "crsTransform" parameters to define it (e.g., Export.image.*). 
 // Here, we'll force the projection with ee.Image.reproject so the result can be 
 // viewed in the map. Note that using small scales with reproject while viewing 
 // large regions breaks the features that make Earth Engine fast and may result 
 // in poor performance and/or errors. 
 image 
  
 = 
  
 image 
 . 
 reproject 
 ( 
 'EPSG:3035' 
 , 
  
 null 
 , 
  
 10000 
 ); 
 // Display the image on the map. 
 Map 
 . 
 setCenter 
 ( 
 4.3376 
 , 
  
 50.947 
 , 
  
 8 
 ); 
 Map 
 . 
 setLocked 
 ( 
 true 
 ); 
 Map 
 . 
 addLayer 
 ( 
  
 image 
 . 
 updateMask 
 ( 
 image 
 . 
 gt 
 ( 
 0 
 )), 
  
 { 
 min 
 : 
  
 0 
 , 
  
 max 
 : 
  
 2000 
 , 
  
 palette 
 : 
  
 [ 
 'yellow' 
 , 
  
 'orange' 
 , 
  
 'red' 
 ]}, 
  
 'Total estimated annual electricity generation, 2015' 
 ); 
 Map 
 . 
 addLayer 
 ( 
 fc 
 , 
  
 null 
 , 
  
 'Belgian power plants' 
 ); 

 # FeatureCollection of power plants in Belgium. 
 fc 
 = 
 ee 
 . 
 FeatureCollection 
 ( 
 'WRI/GPPD/power_plants' 
 ) 
 . 
 filter 
 ( 
 'country_lg == "Belgium"' 
 ) 
 # Create an image from features pixel values are determined from reduction of 
 # property values of the features intersecting each pixel. 
 image 
 = 
 fc 
 . 
 reduceToImage 
 ( 
 properties 
 = 
 [ 
 'gwh_estimt' 
 ], 
 reducer 
 = 
 ee 
 . 
 Reducer 
 . 
 sum 
 ()) 
 # The goal is to sum the electricity generated in 2015 for the power plants 
 # intersecting 10 km cells and view the result as a map layer. 
 # ee.FeatureCollection.reduceToImage does not allow the image projection to be 
 # set because it is waiting on downstream functions that include "crs", 
 # "scale", and "crsTransform" parameters to define it (e.g., Export.image.*). 
 # Here, we'll force the projection with ee.Image.reproject so the result can be 
 # viewed in the map. Note that using small scales with reproject while viewing 
 # large regions breaks the features that make Earth Engine fast and may result 
 # in poor performance and/or errors. 
 image 
 = 
 image 
 . 
 reproject 
 ( 
 'EPSG:3035' 
 , 
 None 
 , 
 10000 
 ) 
 # Display the image on the map. 
 m 
 = 
 geemap 
 . 
 Map 
 () 
 m 
 . 
 set_center 
 ( 
 4.3376 
 , 
 50.947 
 , 
 8 
 ) 
 m 
 . 
 add_layer 
 ( 
 image 
 . 
 updateMask 
 ( 
 image 
 . 
 gt 
 ( 
 0 
 )), 
 { 
 'min' 
 : 
 0 
 , 
 'max' 
 : 
 2000 
 , 
 'palette' 
 : 
 [ 
 'yellow' 
 , 
 'orange' 
 , 
 'red' 
 ]}, 
 'Total estimated annual electricity generation, 2015' 
 , 
 ) 
 m 
 . 
 add_layer 
 ( 
 fc 
 , 
 None 
 , 
 'Belgian power plants' 
 ) 
 m