Pengumuman: Semua project nonkomersial yang terdaftar untuk menggunakan Earth Engine sebelum
15 April 2025 harus
memverifikasi kelayakan nonkomersial untuk mempertahankan akses Earth Engine.
ee.FeatureCollection.aggregate_total_sd
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menggabungkan properti tertentu dari objek dalam koleksi, menghitung total simpangan baku nilai properti yang dipilih.
| Penggunaan | Hasil |
|---|
FeatureCollection.aggregate_total_sd(property) | Angka |
| Argumen | Jenis | Detail |
|---|
ini: collection | FeatureCollection | Koleksi yang akan digabungkan. |
property | String | Properti yang akan digunakan dari setiap elemen koleksi. |
Contoh
Code Editor (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Total std. deviation of power plant capacities (MW)',
fc.aggregate_total_sd('capacitymw')); // 462.9334545609107
Penyiapan Python
Lihat halaman
Lingkungan Python untuk mengetahui informasi tentang Python API dan penggunaan
geemap untuk pengembangan interaktif.
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('Total std. deviation of power plant capacities (MW):',
fc.aggregate_total_sd('capacitymw').getInfo()) # 462.9334545609107
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[[["\u003cp\u003e\u003ccode\u003eaggregate_total_sd\u003c/code\u003e calculates the total standard deviation of a specified property across all features within a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eIt takes a FeatureCollection and the property name as input, returning the total standard deviation as a number.\u003c/p\u003e\n"],["\u003cp\u003eThis function is useful for understanding the dispersion or variability of a specific property within a dataset, like the capacities of power plants in a region.\u003c/p\u003e\n"]]],["The `aggregate_total_sd` function calculates the total 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 total standard deviation. In practice, you can use the function to calculate the total standard deviation of power plant capacities (MW) in a given Feature Collection, as shown in the provided examples. Both Python and JavaScript code snippets are available.\n"],null,["# ee.FeatureCollection.aggregate_total_sd\n\nAggregates over a given property of the objects in a collection, calculating the total std. deviation of the values of the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------------------|---------|\n| FeatureCollection.aggregate_total_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('Total std. deviation of power plant capacities (MW)',\n fc.aggregate_total_sd('capacitymw')); // 462.9334545609107\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('Total std. deviation of power plant capacities (MW):',\n fc.aggregate_total_sd('capacitymw').getInfo()) # 462.9334545609107\n```"]]
