Data kontemporer beresolusi tinggi global tentang distribusi populasi manusia adalah prasyarat untuk pengukuran yang akurat atas dampak pertumbuhan populasi, untuk memantau perubahan, dan untuk merencanakan intervensi. Project WorldPop bertujuan untuk memenuhi kebutuhan ini melalui penyediaan set data distribusi populasi yang mendetail dan dapat diakses secara terbuka yang dibuat menggunakan pendekatan transparan dan telah ditinjau oleh para ahli di bidangnya.
Detail lengkap tentang metode dan set data yang digunakan dalam menyusun data, beserta publikasi akses terbuka, tersedia di situs WorldPop. Singkatnya, jumlah populasi berbasis sensus terbaru yang dicocokkan dengan unit administratif terkaitnya akan diuraikan ke dalam sel petak ~100x100 m melalui pendekatan machine learning yang memanfaatkan hubungan antara kepadatan populasi dan berbagai lapisan kovariat geospasial. Pendekatan pemetaan
adalah redistribusi dasimetri berbasis Random Forest.
Set data ini menggambarkan perkiraan jumlah orang yang tinggal di setiap sel petak pada tahun 2010, 2015, dan tahun lainnya.
Set data berpetak WorldPop lainnya tentang struktur usia populasi, kemiskinan, pertumbuhan kota, dan dinamika populasi tersedia gratis di situs WorldPop. WorldPop merupakan hasil kolaborasi antara peneliti di University of Southampton, Universite Libre de Bruxelles, dan University of Louisville. Project ini terutama didanai oleh
Bill and Melinda Gates Foundation.
Band
Ukuran Piksel 92,77 meter
Band
Nama
Min
Maks
Ukuran Piksel
Deskripsi
population
0*
21171*
meter
Estimasi jumlah orang yang tinggal di setiap sel petak
* perkiraan nilai min atau maks
Properti Gambar
Properti Gambar
Nama
Jenis
Deskripsi
country
STRING
Negara
tahun
DOUBLE
Tahun
Persyaratan Penggunaan
Persyaratan Penggunaan
Kumpulan data WorldPop dilisensikan berdasarkan Lisensi Internasional Creative Commons Attribution 4.0. Pengguna bebas menggunakan, menyalin, mendistribusikan, mengirimkan,
dan mengadaptasi karya untuk tujuan komersial dan non-komersial, tanpa
batasan, selama atribusi yang jelas atas sumbernya diberikan.
Data populasi Amerika: Alessandro Sorichetta, Graeme M. Hornby,
Forrest R. Stevens, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem,
2015, High-resolution gridded population datasets for Latin America and the
Caribbean in 2010, 2015, and 2020, Scientific Data,
doi:10.1038/sdata.2015.45
Data jumlah populasi Afrika: Linard, C., Gilbert, M., Snow, R.W., Noor,
A.M. dan Tatem, A.J., 2012, Distribusi populasi, pola permukiman, dan aksesibilitas di seluruh Afrika pada tahun 2010, PLoS ONE, 7(2): e31743.
Data jumlah populasi Asia: Gaughan AE, Stevens FR, Linard C, Jia P, dan Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882.
Data kontemporer beresolusi tinggi global tentang distribusi populasi manusia adalah prasyarat untuk pengukuran yang akurat atas dampak pertumbuhan populasi, untuk memantau perubahan, dan untuk merencanakan intervensi. Project WorldPop bertujuan untuk memenuhi kebutuhan ini melalui penyediaan set data distribusi populasi yang mendetail dan dapat diakses secara terbuka yang dibuat menggunakan …
[null,null,[],[[["\u003cp\u003eThe WorldPop dataset provides global, high-resolution population distribution data from 2000 to 2021.\u003c/p\u003e\n"],["\u003cp\u003eIt uses Random Forest-based dasymetric redistribution to estimate the number of people residing in each 100x100m grid cell.\u003c/p\u003e\n"],["\u003cp\u003eData is available for various years, with a breakdown of population by age and sex offered for 2020 in related datasets.\u003c/p\u003e\n"],["\u003cp\u003eWorldPop data is freely available under the Creative Commons Attribution 4.0 International License and requires attribution when used.\u003c/p\u003e\n"],["\u003cp\u003eThe project is a collaborative effort funded by the Bill and Melinda Gates Foundation, aiming to support research and interventions related to population dynamics.\u003c/p\u003e\n"]]],[],null,["# WorldPop Global Project Population Data: Estimated Residential Population per 100x100m Grid Square\n\nDataset Availability\n: 2000-01-01T00:00:00Z--2021-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [WorldPop](https://www.worldpop.org)\n\nTags\n:\n[demography](/earth-engine/datasets/tags/demography) [population](/earth-engine/datasets/tags/population) [worldpop](/earth-engine/datasets/tags/worldpop) \n\n#### Description\n\nGlobal high-resolution, contemporary data on human population distributions are\na prerequisite for the accurate measurement of the impacts of population\ngrowth, for monitoring changes, and for planning interventions. The WorldPop\nproject aims to meet these needs through the provision of detailed and open\naccess population distribution datasets built using transparent and\npeer-reviewed approaches.\n\nFull details on the methods and datasets used in constructing the\ndata, along with open access publications, are provided on the\n[WorldPop website](https://www.worldpop.org/). In brief, recent census-based\npopulation counts matched to their associated administrative units are\ndisaggregated to \\~100x100m grid cells through machine learning approaches\nthat exploit the relationships between population densities and a range of\ngeospatial covariate layers. The mapping approach\nis Random Forest-based dasymetric redistribution.\n\nThis dataset depict estimated number of people\nresiding in each grid cell in 2010, 2015, and other years.\n\nFor 2020, the breakdown of population by age and sex is available in\nthe [WorldPop/GP/100m/pop_age_sex](/earth-engine/datasets/catalog/WorldPop_GP_100m_pop_age_sex)\nand [WorldPop/GP/100m/pop_age_sex_cons_unadj](/earth-engine/datasets/catalog/WorldPop_GP_100m_pop_age_sex_cons_unadj)\ncollections.\n\nFurther WorldPop gridded datasets on population age structures,\npoverty, urban growth, and population dynamics are freely available on\nthe WorldPop website. WorldPop represents a collaboration between\nresearchers at the University of Southampton, Universite Libre de\nBruxelles, and University of Louisville. The project is principally funded by\nthe Bill and Melinda Gates Foundation.\n\n### Bands\n\n\n**Pixel Size**\n\n92.77 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------------|-----|---------|------------|-------------------------------------------------------|\n| `population` | 0\\* | 21171\\* | meters | Estimated number of people residing in each grid cell |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------|--------|-------------|\n| country | STRING | Country |\n| year | DOUBLE | Year |\n\n### Terms of Use\n\n**Terms of Use**\n\nWorldPop datasets are licensed under the Creative Commons Attribution 4.0\nInternational License. Users are free to use, copy, distribute, transmit,\nand adapt the work for commercial and non-commercial purposes, without\nrestriction, as long as clear attribution of the source is provided.\n\n### Citations\n\nCitations:\n\n- Please cite the WorldPop website as the source: [www.worldpop.org](https://www.worldpop.org).\n- Americas population data: Alessandro Sorichetta, Graeme M. Hornby,\n Forrest R. Stevens, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem,\n 2015, High-resolution gridded population datasets for Latin America and the\n Caribbean in 2010, 2015, and 2020, Scientific Data,\n [doi:10.1038/sdata.2015.45](https://doi.org/10.1038/sdata.2015.45)\n- Africa population count data: Linard, C., Gilbert, M., Snow, R.W., Noor,\n A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns\n and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.\n- Asia population count data: Gaughan AE, Stevens FR, Linard C, Jia P and\n Tatem AJ, 2013, High resolution population distribution maps for Southeast\n Asia in 2010 and 2015, PLoS ONE, 8(2): e55882.\n\n### DOIs\n\n- \u003chttps://doi.org/10.1038/sdata.2015.45\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('WorldPop/GP/100m/pop');\n\nvar visualization = {\n bands: ['population'],\n min: 0.0,\n max: 50.0,\n palette: ['24126c', '1fff4f', 'd4ff50']\n};\n\nMap.setCenter(113.643, 34.769, 7);\n\nMap.addLayer(dataset, visualization, 'Population');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WorldPop/WorldPop_GP_100m_pop) \n[WorldPop Global Project Population Data: Estimated Residential Population per 100x100m Grid Square](/earth-engine/datasets/catalog/WorldPop_GP_100m_pop) \nGlobal high-resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes, and for planning interventions. The WorldPop project aims to meet these needs through the provision of detailed and open access population distribution datasets built using transparent ... \nWorldPop/GP/100m/pop, demography,population,worldpop \n2000-01-01T00:00:00Z/2021-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/sdata.2015.45](https://doi.org/https://www.worldpop.org)\n- [https://doi.org/10.1038/sdata.2015.45](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WorldPop_GP_100m_pop)"]]
