Changes
On June 9, 2021, 16:09:44 (SAST),
wasim:
-
Updated description of Ghana: High Resolution Population Density Maps + Demographic Estimates to
VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nigeria: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49). ### Methodology These high-resolution maps are created using machine learning techniques to identify buildings from commercially available satellite images. This is then overlayed with general population estimates based on publicly available census data and other population statistics at Columbia University. The resulting maps are the most detailed and actionable tools available for aid and research organizations. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, click [here](https://dataforgood.fb.com/docs/methodology-high-resolution-population-density-maps-demographic-estimates/ For information about how to use HDX to access these datasets, please visit: https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/ Adjustments to match the census population with the UN estimates are applied at the national level. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. This preserves the relative population totals across administrative units while matching the UN total. More information can be found [here](https://dataforgood.fb.com/docs/census-information-for-high-resolution-population-density-maps/)
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| 2 | "author": "Facebook Data for Good", | 2 | "author": "Facebook Data for Good", | ||
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| 16 | "name": | 16 | "name": | ||
| 17 | "ghana-high-resolution-population-density-maps-demographic-estimates", | 17 | "ghana-high-resolution-population-density-maps-demographic-estimates", | ||
| n | 18 | "notes": "", | n | 18 | "notes": "VERSION 1.5. The world's most accurate population |
| 19 | datasets. Seven maps/datasets for the distribution of various | ||||
| 20 | populations in Nigeria: (1) Overall population density (2) Women (3) | ||||
| 21 | Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages | ||||
| 22 | 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | ||||
| 23 | Methodology\r\n\r\nThese high-resolution maps are created using | ||||
| 24 | machine learning techniques to identify buildings from commercially | ||||
| 25 | available satellite images. This is then overlayed with general | ||||
| 26 | population estimates based on publicly available census data and other | ||||
| 27 | population statistics at Columbia University. The resulting maps are | ||||
| 28 | the most detailed and actionable tools available for aid and research | ||||
| 29 | organizations. For more information about the methodology used to | ||||
| 30 | create our high resolution population density maps and the demographic | ||||
| 31 | distributions, click | ||||
| 32 | h-resolution-population-density-maps-demographic-estimates/\r\n\r\nFor | ||||
| 33 | information about how to use HDX to access these datasets, please | ||||
| 34 | visit: | ||||
| 35 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||||
| 36 | to match the census population with the UN estimates are applied at | ||||
| 37 | the national level. The UN estimate for a given country (or | ||||
| 38 | state/territory) is divided by the total census estimate of population | ||||
| 39 | for the given country. The resulting adjustment factor is multiplied | ||||
| 40 | by each administrative unit census value for the target year. This | ||||
| 41 | preserves the relative population totals across administrative units | ||||
| 42 | while matching the UN total. More information can be found | ||||
| 43 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||||
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