ee.FeatureCollection.style

    • The style() method of a FeatureCollection can be used to visualize vector data with customizable appearance.

    • Style parameters like color, point size, shape, width, and fill color can be set for the entire collection or individually for each feature using a styleProperty .

    • The method returns an Image representation of the styled vector collection.

    • Examples in JavaScript and Python demonstrate how to apply both collection-wide and feature-specific styling.

     Draw a vector collection for visualization using a simple style language.
    Usage Returns
    FeatureCollection. style ( color , pointSize , pointShape , width , fillColor , styleProperty , neighborhood , lineType ) Image
    Argument Type Details
    this: collection
    		FeatureCollection The collection to draw.
    color
    		String, default: "black" A default color (CSS 3.0 color value e.g., 'FF0000' or 'red') to use for drawing the features. Supports opacity (e.g., 'FF000088' for 50% transparent red).
    pointSize
    		Integer, default: 3 The default size in pixels of the point markers.
    pointShape
    		String, default: "circle" The default shape of the marker to draw at each point location. One of: `circle`, `square`, `diamond`, `cross`, `plus`, `pentagram`, `hexagram`, `triangle`, `triangle_up`, `triangle_down`, `triangle_left`, `triangle_right`, `pentagon`, `hexagon`, `star5`, `star6`. This argument also supports these Matlab marker abbreviations: `o`, `s`, `d`, `x`, `+`, `p`, `h`, `^`, `v`, `<`, `>`.
    width
    		Float, default: 2 The default line width for lines and outlines for polygons and point shapes.
    fillColor
    		String, default: null The color for filling polygons and point shapes. Defaults to 'color' at 0.66 opacity.
    styleProperty
    		String, default: null A per-feature property expected to contain a dictionary. Values in the dictionary override any default values for that feature.
    neighborhood
    		Integer, default: 5 If styleProperty is used and any feature has a pointSize or width larger than the defaults, tiling artifacts can occur. Specifies the maximum neighborhood (pointSize + width) needed for any feature.
    lineType
    		String, default: "solid" The default line style for lines and outlines of polygons and point shapes. Defaults to 'solid'. One of: solid, dotted, dashed.

    Examples

    Code Editor (JavaScript) 

     // FeatureCollection of power plants in Belgium. 
 var 
  
 fc 
  
 = 
  
 ee 
 . 
 FeatureCollection 
 ( 
 'WRI/GPPD/power_plants' 
 ) 
  
 . 
 filter 
 ( 
 'country_lg == "Belgium"' 
 ); 
 // Paint FeatureCollection to an image using collection-wide style arguments. 
 var 
  
 fcVis 
  
 = 
  
 fc 
 . 
 style 
 ({ 
  
 color 
 : 
  
 '1e90ff' 
 , 
  
 width 
 : 
  
 2 
 , 
  
 fillColor 
 : 
  
 'ff475788' 
 , 
  
 // with alpha set for partial transparency 
  
 lineType 
 : 
  
 'dotted' 
 , 
  
 pointSize 
 : 
  
 10 
 , 
  
 pointShape 
 : 
  
 'circle' 
 }); 
 // Display the FeatureCollection visualization (ee.Image) on the map. 
 Map 
 . 
 setCenter 
 ( 
 4.326 
 , 
  
 50.919 
 , 
  
 9 
 ); 
 Map 
 . 
 addLayer 
 ( 
 fcVis 
 , 
  
 null 
 , 
  
 'Collection-wide style' 
 ); 
 // Paint FeatureCollection to an image using feature-specific style arguments. 
 // A dictionary of style properties per power plant fuel type. 
 var 
  
 fuelStyles 
  
 = 
  
 ee 
 . 
 Dictionary 
 ({ 
  
 Wind 
 : 
  
 { 
 color 
 : 
  
 'blue' 
 , 
  
 pointSize 
 : 
  
 5 
 , 
  
 pointShape 
 : 
  
 'circle' 
 }, 
  
 Gas 
 : 
  
 { 
 color 
 : 
  
 'yellow' 
 , 
  
 pointSize 
 : 
  
 6 
 , 
  
 pointShape 
 : 
  
 'square' 
 }, 
  
 Oil 
 : 
  
 { 
 color 
 : 
  
 'green' 
 , 
  
 pointSize 
 : 
  
 3 
 , 
  
 pointShape 
 : 
  
 'diamond' 
 }, 
  
 Coal 
 : 
  
 { 
 color 
 : 
  
 'red' 
 , 
  
 pointSize 
 : 
  
 3 
 , 
  
 pointShape 
 : 
  
 'cross' 
 }, 
  
 Hydro 
 : 
  
 { 
 color 
 : 
  
 'brown' 
 , 
  
 pointSize 
 : 
  
 3 
 , 
  
 pointShape 
 : 
  
 'star5' 
 }, 
  
 Biomass 
 : 
  
 { 
 color 
 : 
  
 'orange' 
 , 
  
 pointSize 
 : 
  
 4 
 , 
  
 pointShape 
 : 
  
 'triangle' 
 }, 
  
 Nuclear 
 : 
  
 { 
 color 
 : 
  
 'purple' 
 , 
  
 pointSize 
 : 
  
 6 
 , 
  
 pointShape 
 : 
  
 'hexagram' 
 }, 
 }); 
 // Add feature-specific style properties to each feature based on fuel type. 
 fc 
  
 = 
  
 fc 
 . 
 map 
 ( 
 function 
 ( 
 feature 
 ) 
  
 { 
  
 return 
  
 feature 
 . 
 set 
 ( 
 'style' 
 , 
  
 fuelStyles 
 . 
 get 
 ( 
 feature 
 . 
 get 
 ( 
 'fuel1' 
 ))); 
 }); 
 // Style the FeatureCollection according to each feature's "style" property. 
 var 
  
 fcVisCustom 
  
 = 
  
 fc 
 . 
 style 
 ({ 
  
 styleProperty 
 : 
  
 'style' 
 , 
  
 neighborhood 
 : 
  
 8 
  
 // maximum "pointSize" + "width" among features 
 }); 
 // Display the FeatureCollection visualization (ee.Image) on the map. 
 Map 
 . 
 addLayer 
 ( 
 fcVisCustom 
 , 
  
 null 
 , 
  
 'Feature-specific style' 
 );

    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"' 
 ) 
 # Paint FeatureCollection to an image using collection-wide style arguments. 
 fc_vis 
 = 
 fc 
 . 
 style 
 ( 
 color 
 = 
 '1e90ff' 
 , 
 width 
 = 
 2 
 , 
 fillColor 
 = 
 'ff475788' 
 , 
 # with alpha set for partial transparency 
 lineType 
 = 
 'dotted' 
 , 
 pointSize 
 = 
 10 
 , 
 pointShape 
 = 
 'circle' 
 , 
 ) 
 # Display the FeatureCollection visualization (ee.Image) on the map. 
 m 
 = 
 geemap 
 . 
 Map 
 () 
 m 
 . 
 set_center 
 ( 
 4.326 
 , 
 50.919 
 , 
 9 
 ) 
 m 
 . 
 add_layer 
 ( 
 fc_vis 
 , 
 None 
 , 
 'Collection-wide style' 
 ) 
 # Paint FeatureCollection to an image using feature-specific style arguments. 
 # A dictionary of style properties per power plant fuel type. 
 fuel_styles 
 = 
 ee 
 . 
 Dictionary 
 ({ 
 'Wind' 
 : 
 { 
 'color' 
 : 
 'blue' 
 , 
 'pointSize' 
 : 
 5 
 , 
 'pointShape' 
 : 
 'circle' 
 }, 
 'Gas' 
 : 
 { 
 'color' 
 : 
 'yellow' 
 , 
 'pointSize' 
 : 
 6 
 , 
 'pointShape' 
 : 
 'square' 
 }, 
 'Oil' 
 : 
 { 
 'color' 
 : 
 'green' 
 , 
 'pointSize' 
 : 
 3 
 , 
 'pointShape' 
 : 
 'diamond' 
 }, 
 'Coal' 
 : 
 { 
 'color' 
 : 
 'red' 
 , 
 'pointSize' 
 : 
 3 
 , 
 'pointShape' 
 : 
 'cross' 
 }, 
 'Hydro' 
 : 
 { 
 'color' 
 : 
 'brown' 
 , 
 'pointSize' 
 : 
 3 
 , 
 'pointShape' 
 : 
 'star5' 
 }, 
 'Biomass' 
 : 
 { 
 'color' 
 : 
 'orange' 
 , 
 'pointSize' 
 : 
 4 
 , 
 'pointShape' 
 : 
 'triangle' 
 }, 
 'Nuclear' 
 : 
 { 
 'color' 
 : 
 'purple' 
 , 
 'pointSize' 
 : 
 6 
 , 
 'pointShape' 
 : 
 'hexagram' 
 }, 
 }) 
 # Add feature-specific style properties to each feature based on fuel type. 
 fc 
 = 
 fc 
 . 
 map 
 ( 
 lambda 
 feature 
 : 
 feature 
 . 
 set 
 ( 
 'style' 
 , 
 fuel_styles 
 . 
 get 
 ( 
 feature 
 . 
 get 
 ( 
 'fuel1' 
 ))) 
 ) 
 # Style the FeatureCollection according to each feature's "style" property. 
 fc_vis_custom 
 = 
 fc 
 . 
 style 
 ( 
 styleProperty 
 = 
 'style' 
 , 
 neighborhood 
 = 
 8 
 , 
 # maximum "pointSize" + "width" among features 
 ) 
 # Display the FeatureCollection visualization (ee.Image) on the map. 
 m 
 . 
 add_layer 
 ( 
 fc_vis_custom 
 , 
 None 
 , 
 'Feature-specific style' 
 ) 
 m
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