ለውጦች
On ሰኔ 15, 2022, 12:46:08 (SAST),
wasim:
-
Added resource Egypt high resolution population density maps to Egypt: High Resolution Population Density Maps + Demographic Estimates
| f | 1 | { | f | 1 | { |
| 2 | "author": "Data for Good at Meta", | 2 | "author": "Data for Good at Meta", | ||
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| 14 | }, | 14 | }, | ||
| 15 | { | 15 | { | ||
| 16 | "description": "", | 16 | "description": "", | ||
| 17 | "display_name": "Population ", | 17 | "display_name": "Population ", | ||
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| 20 | "name": "population", | 20 | "name": "population", | ||
| 21 | "title": "Population " | 21 | "title": "Population " | ||
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| 25 | "isopen": true, | 25 | "isopen": true, | ||
| 26 | "license_id": "cc-by", | 26 | "license_id": "cc-by", | ||
| 27 | "license_title": "Creative Commons Attribution", | 27 | "license_title": "Creative Commons Attribution", | ||
| 28 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 28 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 29 | "maintainer": "Heiko Heilgendorff (OCL)", | 29 | "maintainer": "Heiko Heilgendorff (OCL)", | ||
| 30 | "maintainer_email": "[email protected]", | 30 | "maintainer_email": "[email protected]", | ||
| 31 | "metadata_created": "2021-06-04T11:43:36.987097", | 31 | "metadata_created": "2021-06-04T11:43:36.987097", | ||
| n | 32 | "metadata_modified": "2022-06-15T10:45:30.248710", | n | 32 | "metadata_modified": "2022-06-15T10:46:08.549183", |
| 33 | "name": | 33 | "name": | ||
| 34 | "egypt-high-resolution-population-density-maps-demographic-estimates", | 34 | "egypt-high-resolution-population-density-maps-demographic-estimates", | ||
| 35 | "notes": "VERSION 1.5. The world's most accurate population | 35 | "notes": "VERSION 1.5. The world's most accurate population | ||
| 36 | datasets. Seven maps/datasets for the distribution of various | 36 | datasets. Seven maps/datasets for the distribution of various | ||
| 37 | populations in Nigeria: (1) Overall population density (2) Women (3) | 37 | populations in Nigeria: (1) Overall population density (2) Women (3) | ||
| 38 | Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages | 38 | Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages | ||
| 39 | 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | 39 | 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | ||
| 40 | Methodology\r\n\r\nThese high-resolution maps are created using | 40 | Methodology\r\n\r\nThese high-resolution maps are created using | ||
| 41 | machine learning techniques to identify buildings from commercially | 41 | machine learning techniques to identify buildings from commercially | ||
| 42 | available satellite images. This is then overlayed with general | 42 | available satellite images. This is then overlayed with general | ||
| 43 | population estimates based on publicly available census data and other | 43 | population estimates based on publicly available census data and other | ||
| 44 | population statistics at Columbia University. The resulting maps are | 44 | population statistics at Columbia University. The resulting maps are | ||
| 45 | the most detailed and actionable tools available for aid and research | 45 | the most detailed and actionable tools available for aid and research | ||
| 46 | organizations. For more information about the methodology used to | 46 | organizations. For more information about the methodology used to | ||
| 47 | create our high resolution population density maps and the demographic | 47 | create our high resolution population density maps and the demographic | ||
| 48 | distributions, click | 48 | distributions, click | ||
| 49 | h-resolution-population-density-maps-demographic-estimates/\r\n\r\nFor | 49 | h-resolution-population-density-maps-demographic-estimates/\r\n\r\nFor | ||
| 50 | information about how to use HDX to access these datasets, please | 50 | information about how to use HDX to access these datasets, please | ||
| 51 | visit: | 51 | visit: | ||
| 52 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | 52 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||
| 53 | to match the census population with the UN estimates are applied at | 53 | to match the census population with the UN estimates are applied at | ||
| 54 | the national level. The UN estimate for a given country (or | 54 | the national level. The UN estimate for a given country (or | ||
| 55 | state/territory) is divided by the total census estimate of population | 55 | state/territory) is divided by the total census estimate of population | ||
| 56 | for the given country. The resulting adjustment factor is multiplied | 56 | for the given country. The resulting adjustment factor is multiplied | ||
| 57 | by each administrative unit census value for the target year. This | 57 | by each administrative unit census value for the target year. This | ||
| 58 | preserves the relative population totals across administrative units | 58 | preserves the relative population totals across administrative units | ||
| 59 | while matching the UN total. More information can be found | 59 | while matching the UN total. More information can be found | ||
| 60 | ocs/census-information-for-high-resolution-population-density-maps/)", | 60 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||
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| 63 | "organization": { | 63 | "organization": { | ||
| 64 | "approval_status": "approved", | 64 | "approval_status": "approved", | ||
| 65 | "created": "2022-06-15T09:44:22.871262", | 65 | "created": "2022-06-15T09:44:22.871262", | ||
| 66 | "description": "The Humanitarian Data Exchange (HDX) is an open | 66 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||
| 67 | platform for sharing data across crises and organisations. Launched in | 67 | platform for sharing data across crises and organisations. Launched in | ||
| 68 | July 2014, the goal of HDX is to make humanitarian data easy to find | 68 | July 2014, the goal of HDX is to make humanitarian data easy to find | ||
| 69 | and use for analysis. Our growing collection of datasets has been | 69 | and use for analysis. Our growing collection of datasets has been | ||
| 70 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | 70 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | ||
| 71 | managed by OCHA's Centre for Humanitarian Data, which is located in | 71 | managed by OCHA's Centre for Humanitarian Data, which is located in | ||
| 72 | The Hague. OCHA is part of the United Nations Secretariat and is | 72 | The Hague. OCHA is part of the United Nations Secretariat and is | ||
| 73 | responsible for bringing together humanitarian actors to ensure a | 73 | responsible for bringing together humanitarian actors to ensure a | ||
| 74 | coherent response to emergencies. The HDX team includes OCHA staff and | 74 | coherent response to emergencies. The HDX team includes OCHA staff and | ||
| 75 | a number of consultants who are based in North America, Europe and | 75 | a number of consultants who are based in North America, Europe and | ||
| 76 | Africa.", | 76 | Africa.", | ||
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