Változások
On Június 4, 2021, 13:25:11 (SAST),
wasim:
-
Added resource sen_women_of_reproductive_age_15_49_csv.zip to Senegal: High Resolution Population Density Maps + Demographic Estimates
| f | 1 | { | f | 1 | { |
| 2 | "author": "Facebook Data for Good", | 2 | "author": "Facebook Data for Good", | ||
| 3 | "author_email": "", | 3 | "author_email": "", | ||
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| 8 | "isopen": true, | 8 | "isopen": true, | ||
| 9 | "license_id": "cc-by", | 9 | "license_id": "cc-by", | ||
| 10 | "license_title": "Creative Commons Attribution", | 10 | "license_title": "Creative Commons Attribution", | ||
| 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 12 | "maintainer": "", | 12 | "maintainer": "", | ||
| 13 | "maintainer_email": "", | 13 | "maintainer_email": "", | ||
| 14 | "metadata_created": "2021-06-04T11:21:16.687039", | 14 | "metadata_created": "2021-06-04T11:21:16.687039", | ||
| n | 15 | "metadata_modified": "2021-06-04T11:24:57.219493", | n | 15 | "metadata_modified": "2021-06-04T11:25:10.945320", |
| 16 | "name": | 16 | "name": | ||
| 17 | enegal-high-resolution-population-density-maps-demographic-estimates", | 17 | enegal-high-resolution-population-density-maps-demographic-estimates", | ||
| 18 | "notes": "VERSION 1.5. The world's most accurate population | 18 | "notes": "VERSION 1.5. The world's most accurate population | ||
| 19 | datasets. Seven maps/datasets for the distribution of various | 19 | datasets. Seven maps/datasets for the distribution of various | ||
| 20 | populations in Nigeria: (1) Overall population density (2) Women (3) | 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 | 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### | 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 | 23 | Methodology\r\n\r\nThese high-resolution maps are created using | ||
| 24 | machine learning techniques to identify buildings from commercially | 24 | machine learning techniques to identify buildings from commercially | ||
| 25 | available satellite images. This is then overlayed with general | 25 | available satellite images. This is then overlayed with general | ||
| 26 | population estimates based on publicly available census data and other | 26 | population estimates based on publicly available census data and other | ||
| 27 | population statistics at Columbia University. The resulting maps are | 27 | population statistics at Columbia University. The resulting maps are | ||
| 28 | the most detailed and actionable tools available for aid and research | 28 | the most detailed and actionable tools available for aid and research | ||
| 29 | organizations. For more information about the methodology used to | 29 | organizations. For more information about the methodology used to | ||
| 30 | create our high resolution population density maps and the demographic | 30 | create our high resolution population density maps and the demographic | ||
| 31 | distributions, click | 31 | distributions, click | ||
| 32 | h-resolution-population-density-maps-demographic-estimates/\r\n\r\nFor | 32 | h-resolution-population-density-maps-demographic-estimates/\r\n\r\nFor | ||
| 33 | information about how to use HDX to access these datasets, please | 33 | information about how to use HDX to access these datasets, please | ||
| 34 | visit: | 34 | visit: | ||
| 35 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | 35 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||
| 36 | to match the census population with the UN estimates are applied at | 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 | 37 | the national level. The UN estimate for a given country (or | ||
| 38 | state/territory) is divided by the total census estimate of population | 38 | state/territory) is divided by the total census estimate of population | ||
| 39 | for the given country. The resulting adjustment factor is multiplied | 39 | for the given country. The resulting adjustment factor is multiplied | ||
| 40 | by each administrative unit census value for the target year. This | 40 | by each administrative unit census value for the target year. This | ||
| 41 | preserves the relative population totals across administrative units | 41 | preserves the relative population totals across administrative units | ||
| 42 | while matching the UN total. More information can be found | 42 | while matching the UN total. More information can be found | ||
| 43 | ocs/census-information-for-high-resolution-population-density-maps/)", | 43 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||
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| 315 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | 338 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | ||
| 316 | "name": "population density", | 339 | "name": "population density", | ||
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| 318 | "vocabulary_id": null | 341 | "vocabulary_id": null | ||
| 319 | }, | 342 | }, | ||
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| 322 | "id": "a044a0a6-098c-4aa9-a828-14462af6be1b", | 345 | "id": "a044a0a6-098c-4aa9-a828-14462af6be1b", | ||
| 323 | "name": "senegal", | 346 | "name": "senegal", | ||
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| 325 | "vocabulary_id": null | 348 | "vocabulary_id": null | ||
| 326 | }, | 349 | }, | ||
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| 331 | "state": "active", | 354 | "state": "active", | ||
| 332 | "vocabulary_id": null | 355 | "vocabulary_id": null | ||
| 333 | }, | 356 | }, | ||
| 334 | { | 357 | { | ||
| 335 | "display_name": "women of reproductive age", | 358 | "display_name": "women of reproductive age", | ||
| 336 | "id": "a1f9dfb8-316b-40bd-8182-5e3afdf9237c", | 359 | "id": "a1f9dfb8-316b-40bd-8182-5e3afdf9237c", | ||
| 337 | "name": "women of reproductive age", | 360 | "name": "women of reproductive age", | ||
| 338 | "state": "active", | 361 | "state": "active", | ||
| 339 | "vocabulary_id": null | 362 | "vocabulary_id": null | ||
| 340 | }, | 363 | }, | ||
| 341 | { | 364 | { | ||
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| 344 | "name": "youth", | 367 | "name": "youth", | ||
| 345 | "state": "active", | 368 | "state": "active", | ||
| 346 | "vocabulary_id": null | 369 | "vocabulary_id": null | ||
| 347 | } | 370 | } | ||
| 348 | ], | 371 | ], | ||
| 349 | "title": "Senegal: High Resolution Population Density Maps + | 372 | "title": "Senegal: High Resolution Population Density Maps + | ||
| 350 | Demographic Estimates", | 373 | Demographic Estimates", | ||
| 351 | "type": "dataset", | 374 | "type": "dataset", | ||
| 352 | "url": "Facebook Data for Good", | 375 | "url": "Facebook Data for Good", | ||
| 353 | "version": "" | 376 | "version": "" | ||
| 354 | } | 377 | } |