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_sum
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menggabungkan properti tertentu dari objek dalam koleksi, menghitung jumlah nilai properti yang dipilih.
| Penggunaan | Hasil |
|---|
FeatureCollection.aggregate_sum(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('Sum of power plant capacities (MW)',
fc.aggregate_sum('capacitymw')); // 13288.600000000002
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('Sum of power plant capacities (MW):',
fc.aggregate_sum('capacitymw').getInfo()) # 13288.600000000002
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_sum()\u003c/code\u003e calculates the total sum of a specified property's values across all features within a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eIt takes a FeatureCollection and the property name as input.\u003c/p\u003e\n"],["\u003cp\u003eThe result is a single number representing the total sum.\u003c/p\u003e\n"],["\u003cp\u003eThis function is useful for calculations like finding the total capacity of power plants in a region, as demonstrated in the example.\u003c/p\u003e\n"]]],["The `aggregate_sum` function calculates the sum of a specified property across a FeatureCollection. It takes a FeatureCollection and a property name as input. For each element in the collection, it sums the values of the provided property. The function returns a single number representing the total sum. For instance, it can be used to sum the power capacity (in MW) of all power plants in Belgium from a FeatureCollection.\n"],null,["# ee.FeatureCollection.aggregate_sum\n\nAggregates over a given property of the objects in a collection, calculating the sum of the values of the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------------------|---------|\n| FeatureCollection.aggregate_sum`(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('Sum of power plant capacities (MW)',\n fc.aggregate_sum('capacitymw')); // 13288.600000000002\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('Sum of power plant capacities (MW):',\n fc.aggregate_sum('capacitymw').getInfo()) # 13288.600000000002\n```"]]
