Changes
On June 14, 2023, 11:43:13 (SAST),
-
Deleted resource moz_elderly_60_plus_geotiff.zip from Mozambique: 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", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "34f7a594-935e-4ac6-b13c-8bb3b861b487", | 4 | "creator_user_id": "34f7a594-935e-4ac6-b13c-8bb3b861b487", | ||
5 | "extras": [], | 5 | "extras": [], | ||
6 | "groups": [ | 6 | "groups": [ | ||
7 | { | 7 | { | ||
8 | "description": "The Humanitarian Data Exchange (HDX) is an open | 8 | "description": "The Humanitarian Data Exchange (HDX) is an open | ||
9 | platform for sharing data across crises and organisations. Launched in | 9 | platform for sharing data across crises and organisations. Launched in | ||
10 | July 2014, the goal of HDX is to make humanitarian data easy to find | 10 | July 2014, the goal of HDX is to make humanitarian data easy to find | ||
11 | and use for analysis. Our growing collection of datasets has been | 11 | and use for analysis. Our growing collection of datasets has been | ||
12 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | 12 | accessed by users in over 200 countries and territories.\r\n\r\nHDX is | ||
13 | managed by OCHA's Centre for Humanitarian Data, which is located in | 13 | managed by OCHA's Centre for Humanitarian Data, which is located in | ||
14 | The Hague. OCHA is part of the United Nations Secretariat and is | 14 | The Hague. OCHA is part of the United Nations Secretariat and is | ||
15 | responsible for bringing together humanitarian actors to ensure a | 15 | responsible for bringing together humanitarian actors to ensure a | ||
16 | coherent response to emergencies. The HDX team includes OCHA staff and | 16 | coherent response to emergencies. The HDX team includes OCHA staff and | ||
17 | a number of consultants who are based in North America, Europe and | 17 | a number of consultants who are based in North America, Europe and | ||
18 | Africa.", | 18 | Africa.", | ||
19 | "display_name": "HDX: Humanitarian Data Exchange", | 19 | "display_name": "HDX: Humanitarian Data Exchange", | ||
20 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | 20 | "id": "15791998-b8b5-41fa-841f-0393addadcbf", | ||
21 | "image_display_url": | 21 | "image_display_url": | ||
22 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | 22 | "https://data.humdata.org/images/homepage/logo-hdx.svg", | ||
23 | "name": "hdx-humanitarian-data-exchange", | 23 | "name": "hdx-humanitarian-data-exchange", | ||
24 | "title": "HDX: Humanitarian Data Exchange" | 24 | "title": "HDX: Humanitarian Data Exchange" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "description": "", | 27 | "description": "", | ||
28 | "display_name": "Population ", | 28 | "display_name": "Population ", | ||
29 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | 29 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | ||
30 | "image_display_url": "", | 30 | "image_display_url": "", | ||
31 | "name": "population", | 31 | "name": "population", | ||
32 | "title": "Population " | 32 | "title": "Population " | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 35 | "id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
36 | "isopen": true, | 36 | "isopen": true, | ||
37 | "license_id": "cc-by", | 37 | "license_id": "cc-by", | ||
38 | "license_title": "Creative Commons Attribution", | 38 | "license_title": "Creative Commons Attribution", | ||
39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 39 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
40 | "maintainer": "Heiko Heilgendorff (OCL)", | 40 | "maintainer": "Heiko Heilgendorff (OCL)", | ||
41 | "maintainer_email": "[email protected]", | 41 | "maintainer_email": "[email protected]", | ||
42 | "metadata_created": "2021-06-09T14:17:22.082441", | 42 | "metadata_created": "2021-06-09T14:17:22.082441", | ||
n | 43 | "metadata_modified": "2023-06-14T09:42:55.050991", | n | 43 | "metadata_modified": "2023-06-14T09:43:13.509447", |
44 | "name": | 44 | "name": | ||
45 | mbique-high-resolution-population-density-maps-demographic-estimates", | 45 | mbique-high-resolution-population-density-maps-demographic-estimates", | ||
46 | "notes": "VERSION 1.5. The world's most accurate population | 46 | "notes": "VERSION 1.5. The world's most accurate population | ||
47 | datasets. Seven maps/datasets for the distribution of various | 47 | datasets. Seven maps/datasets for the distribution of various | ||
48 | populations in Mozambique: (1) Overall population density (2) Women | 48 | populations in Mozambique: (1) Overall population density (2) Women | ||
49 | (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly | 49 | (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly | ||
50 | (ages 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | 50 | (ages 60+) (7) Women of reproductive age (ages 15-49).\r\n\r\n### | ||
51 | Methodology\r\n\r\nThese high-resolution maps are created using | 51 | Methodology\r\n\r\nThese high-resolution maps are created using | ||
52 | machine learning techniques to identify buildings from commercially | 52 | machine learning techniques to identify buildings from commercially | ||
53 | available satellite images. This is then overlayed with general | 53 | available satellite images. This is then overlayed with general | ||
54 | population estimates based on publicly available census data and other | 54 | population estimates based on publicly available census data and other | ||
55 | population statistics at Columbia University. The resulting maps are | 55 | population statistics at Columbia University. The resulting maps are | ||
56 | the most detailed and actionable tools available for aid and research | 56 | the most detailed and actionable tools available for aid and research | ||
57 | organizations. For more information about the methodology used to | 57 | organizations. For more information about the methodology used to | ||
58 | create our high resolution population density maps and the demographic | 58 | create our high resolution population density maps and the demographic | ||
59 | distributions, click | 59 | distributions, click | ||
60 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | 60 | resolution-population-density-maps-demographic-estimates/).\r\n\r\nFor | ||
61 | information about how to use HDX to access these datasets, please | 61 | information about how to use HDX to access these datasets, please | ||
62 | visit: | 62 | visit: | ||
63 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | 63 | n-density-maps-demographic-estimates-documentation/\r\n\r\nAdjustments | ||
64 | to match the census population with the UN estimates are applied at | 64 | to match the census population with the UN estimates are applied at | ||
65 | the national level. The UN estimate for a given country (or | 65 | the national level. The UN estimate for a given country (or | ||
66 | state/territory) is divided by the total census estimate of population | 66 | state/territory) is divided by the total census estimate of population | ||
67 | for the given country. The resulting adjustment factor is multiplied | 67 | for the given country. The resulting adjustment factor is multiplied | ||
68 | by each administrative unit census value for the target year. This | 68 | by each administrative unit census value for the target year. This | ||
69 | preserves the relative population totals across administrative units | 69 | preserves the relative population totals across administrative units | ||
70 | while matching the UN total. More information can be found | 70 | while matching the UN total. More information can be found | ||
71 | ocs/census-information-for-high-resolution-population-density-maps/)", | 71 | ocs/census-information-for-high-resolution-population-density-maps/)", | ||
n | 72 | "num_resources": 10, | n | 72 | "num_resources": 9, |
73 | "num_tags": 8, | 73 | "num_tags": 8, | ||
74 | "organization": { | 74 | "organization": { | ||
75 | "approval_status": "approved", | 75 | "approval_status": "approved", | ||
76 | "created": "2022-07-04T08:06:45.420882", | 76 | "created": "2022-07-04T08:06:45.420882", | ||
77 | "description": "We work to build inclusion and participatory | 77 | "description": "We work to build inclusion and participatory | ||
78 | democracy in cities and urban spaces through empowering citizens, | 78 | democracy in cities and urban spaces through empowering citizens, | ||
79 | building trust and accountability in civic space, and capacitating | 79 | building trust and accountability in civic space, and capacitating | ||
80 | government. You can find our website | 80 | government. You can find our website | ||
81 | [here](https://opencitieslab.org/).", | 81 | [here](https://opencitieslab.org/).", | ||
82 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | 82 | "id": "8e526815-d516-4f6c-9ae0-a4d62555c30c", | ||
83 | "image_url": | 83 | "image_url": | ||
84 | ttps://opencitieslab.org/odd/static/dist/img/ocl_logo_header-nav.png", | 84 | ttps://opencitieslab.org/odd/static/dist/img/ocl_logo_header-nav.png", | ||
85 | "is_organization": true, | 85 | "is_organization": true, | ||
86 | "name": "open-cities-lab", | 86 | "name": "open-cities-lab", | ||
87 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | 87 | "revision_id": "35e0d462-e6b8-4c18-8743-e9361e136009", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "title": "Open Cities Lab", | 89 | "title": "Open Cities Lab", | ||
90 | "type": "organization" | 90 | "type": "organization" | ||
91 | }, | 91 | }, | ||
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309 | "description": "VERSION 1.5. The world's most accurate | 286 | "description": "VERSION 1.5. The world's most accurate | ||
310 | population datasets. Seven maps/datasets for the distribution of | 287 | population datasets. Seven maps/datasets for the distribution of | ||
311 | various populations in Mozambique: (1) Overall population density (2) | 288 | various populations in Mozambique: (1) Overall population density (2) | ||
312 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | 289 | Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) | ||
313 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | 290 | Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).", | ||
314 | "format": "", | 291 | "format": "", | ||
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318 | "mimetype": null, | 295 | "mimetype": null, | ||
319 | "mimetype_inner": null, | 296 | "mimetype_inner": null, | ||
320 | "name": "high resolution population densitymaps", | 297 | "name": "high resolution population densitymaps", | ||
321 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | 298 | "package_id": "1349dec1-d0e1-42ae-bf10-e4dcad29b580", | ||
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325 | "size": null, | 302 | "size": null, | ||
326 | "state": "active", | 303 | "state": "active", | ||
327 | "url": | 304 | "url": | ||
328 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | 305 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | ||
329 | "url_type": null | 306 | "url_type": null | ||
330 | } | 307 | } | ||
331 | ], | 308 | ], | ||
332 | "revision_id": "d1bc9b06-31d7-4d24-8177-666d7cdd5572", | 309 | "revision_id": "d1bc9b06-31d7-4d24-8177-666d7cdd5572", | ||
333 | "state": "active", | 310 | "state": "active", | ||
334 | "tags": [ | 311 | "tags": [ | ||
335 | { | 312 | { | ||
336 | "display_name": "children", | 313 | "display_name": "children", | ||
337 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | 314 | "id": "a31aa94e-cdbe-470b-b953-602bfc01eeab", | ||
338 | "name": "children", | 315 | "name": "children", | ||
339 | "state": "active", | 316 | "state": "active", | ||
340 | "vocabulary_id": null | 317 | "vocabulary_id": null | ||
341 | }, | 318 | }, | ||
342 | { | 319 | { | ||
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344 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | 321 | "id": "9c11b077-a76b-4a95-b6ee-afb6c112f48c", | ||
345 | "name": "elderly", | 322 | "name": "elderly", | ||
346 | "state": "active", | 323 | "state": "active", | ||
347 | "vocabulary_id": null | 324 | "vocabulary_id": null | ||
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351 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | 328 | "id": "7801f2cc-853c-4190-b21a-641a82b8d1f1", | ||
352 | "name": "geodata", | 329 | "name": "geodata", | ||
353 | "state": "active", | 330 | "state": "active", | ||
354 | "vocabulary_id": null | 331 | "vocabulary_id": null | ||
355 | }, | 332 | }, | ||
356 | { | 333 | { | ||
357 | "display_name": "men", | 334 | "display_name": "men", | ||
358 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | 335 | "id": "887bf1dd-dcf9-42ab-9e75-7ee55de689a2", | ||
359 | "name": "men", | 336 | "name": "men", | ||
360 | "state": "active", | 337 | "state": "active", | ||
361 | "vocabulary_id": null | 338 | "vocabulary_id": null | ||
362 | }, | 339 | }, | ||
363 | { | 340 | { | ||
364 | "display_name": "population density", | 341 | "display_name": "population density", | ||
365 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | 342 | "id": "98311ff5-1cea-4f34-92fb-c0757c6ce5ca", | ||
366 | "name": "population density", | 343 | "name": "population density", | ||
367 | "state": "active", | 344 | "state": "active", | ||
368 | "vocabulary_id": null | 345 | "vocabulary_id": null | ||
369 | }, | 346 | }, | ||
370 | { | 347 | { | ||
371 | "display_name": "reproductive", | 348 | "display_name": "reproductive", | ||
372 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | 349 | "id": "6fb38736-99e6-40c9-b3b3-da34da5e6cf5", | ||
373 | "name": "reproductive", | 350 | "name": "reproductive", | ||
374 | "state": "active", | 351 | "state": "active", | ||
375 | "vocabulary_id": null | 352 | "vocabulary_id": null | ||
376 | }, | 353 | }, | ||
377 | { | 354 | { | ||
378 | "display_name": "women", | 355 | "display_name": "women", | ||
379 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | 356 | "id": "d8f22a99-abe8-41cb-ae9c-4b543eee7cdf", | ||
380 | "name": "women", | 357 | "name": "women", | ||
381 | "state": "active", | 358 | "state": "active", | ||
382 | "vocabulary_id": null | 359 | "vocabulary_id": null | ||
383 | }, | 360 | }, | ||
384 | { | 361 | { | ||
385 | "display_name": "youth", | 362 | "display_name": "youth", | ||
386 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | 363 | "id": "98ff881a-a277-4d3a-9641-7657ad12e6a7", | ||
387 | "name": "youth", | 364 | "name": "youth", | ||
388 | "state": "active", | 365 | "state": "active", | ||
389 | "vocabulary_id": null | 366 | "vocabulary_id": null | ||
390 | } | 367 | } | ||
391 | ], | 368 | ], | ||
392 | "title": "Mozambique: High Resolution Population Density Maps + | 369 | "title": "Mozambique: High Resolution Population Density Maps + | ||
393 | Demographic Estimates", | 370 | Demographic Estimates", | ||
394 | "type": "dataset", | 371 | "type": "dataset", | ||
395 | "url": | 372 | "url": | ||
396 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | 373 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-moz", | ||
397 | "version": "" | 374 | "version": "" | ||
398 | } | 375 | } |