ee.FeatureCollection.style

使用簡單的樣式語言繪製向量集合，以進行視覺化。

用量	傳回
FeatureCollection.style(color, pointSize, pointShape, width, fillColor, styleProperty, neighborhood, lineType)	圖片

引數	類型	詳細資料
這個：collection	FeatureCollection	要繪製的集合。
color	字串，預設值為「black」	預設顏色 (CSS 3.0 顏色值，例如 'FF0000' 或 'red')，用於繪製特徵。支援不透明度 (例如 「FF000088」(50% 透明的紅色)。
pointSize	整數，預設值為 3	點標記的預設大小 (以像素為單位)。
pointShape	字串，預設值為「circle」	要在每個點位置繪製的標記預設形狀。其中一個：`circle`、`square`、`diamond`、`cross`、`plus`、`pentagram`、`hexagram`、`triangle`、`triangle_up`、`triangle_down`、`triangle_left`、`triangle_right`、`pentagon`、`hexagon`、`star5`、`star6`。這個引數也支援下列 Matlab 標記縮寫：`o`、`s`、`d`、`x`、`+`、`p`、`h`、`^`、`v`、`<`、`>`。
width	浮點值，預設值為 2	線條和多邊形/點形狀輪廓的預設線條寬度。
fillColor	字串，預設值為空值	用於填滿多邊形和點形狀的顏色。預設為不透明度 0.66 的「color」。
styleProperty	字串，預設值為空值	每個特徵的屬性都應包含字典。字典中的值會覆寫該功能的任何預設值。
neighborhood	整數，預設值為 5	如果使用 styleProperty，且任何特徵的 pointSize 或寬度大於預設值，就可能發生圖塊構件。指定任何特徵所需的最大鄰域 (pointSize + width)。
lineType	字串，預設值為「solid」	線條、多邊形和點形狀輪廓的預設線條樣式。預設值為「solid」。以下其中之一：實線、點線、虛線。

範例

程式碼編輯器 (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 設定

請參閱 Python 環境頁面，瞭解 Python API 和如何使用 geemap 進行互動式開發。

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