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ee.FeatureCollection.aggregate_sample_sd
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
对集合中对象的指定属性进行汇总，计算所选属性值的样本标准差。
| 用法 | 返回 |
|---|
FeatureCollection.aggregate_sample_sd(property) | 数字 |
| 参数 | 类型 | 详细信息 |
|---|
此：collection | FeatureCollection | 要汇总的集合。 |
property | 字符串 | 要从集合的每个元素中使用的属性。 |
示例
代码编辑器 (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Sample std. deviation of power plant capacities (MW)',
fc.aggregate_sample_sd('capacitymw')); // 466.480889231
Python 设置
如需了解 Python API 和如何使用 geemap 进行交互式开发，请参阅
Python 环境页面。
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"')
print('Sample std. deviation of power plant capacities (MW):',
fc.aggregate_sample_sd('capacitymw').getInfo()) # 466.480889231
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最后更新时间 (UTC)：2025-07-26。
[null,null,["最后更新时间 (UTC)：2025-07-26。"],[[["\u003cp\u003e\u003ccode\u003eaggregate_sample_sd\u003c/code\u003e calculates the sample standard deviation of a specified property within a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eIt takes the FeatureCollection and the property name as input.\u003c/p\u003e\n"],["\u003cp\u003eThe function returns a single numeric value representing the sample standard deviation.\u003c/p\u003e\n"],["\u003cp\u003eThis function is useful for understanding the dispersion or variability of a property within a collection of geographic features.\u003c/p\u003e\n"]]],["The `aggregate_sample_sd` function calculates the sample standard deviation of a specified property across a FeatureCollection. It takes the collection and the property name as input, returning a numerical value representing the standard deviation. For instance, applied to a FeatureCollection of power plants, it can compute the sample standard deviation of their capacities. The example shows calculating the sample standard deviation of power plant `capacitymw` for power plants in Belgium.\n"],null,["# ee.FeatureCollection.aggregate_sample_sd\n\nAggregates over a given property of the objects in a collection, calculating the sample std. deviation of the values of the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------------------------|---------|\n| FeatureCollection.aggregate_sample_sd`(property)` | Number |\n\n| Argument | Type | Details |\n|--------------------|-------------------|----------------------------------------------------------|\n| this: `collection` | FeatureCollection | The collection to aggregate over. |\n| `property` | String | The property to use from each element of the collection. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// FeatureCollection of power plants in Belgium.\nvar fc = ee.FeatureCollection('WRI/GPPD/power_plants')\n .filter('country_lg == \"Belgium\"');\n\nprint('Sample std. deviation of power plant capacities (MW)',\n fc.aggregate_sample_sd('capacitymw')); // 466.480889231\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# FeatureCollection of power plants in Belgium.\nfc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(\n 'country_lg == \"Belgium\"')\n\nprint('Sample std. deviation of power plant capacities (MW):',\n fc.aggregate_sample_sd('capacitymw').getInfo()) # 466.480889231\n```"]]
