Changes
On November 9, 2022, 09:48:11 (SAST), Heiko Heilgendorff:
-
Renamed resource gdf_etk.geojson to eThekwini_municipal_boundary.geojson in mapping_geo_data_python_tutorial
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": "38f99352-00ba-4868-aa9c-77c1c93c4b97", | 4 | "creator_user_id": "38f99352-00ba-4868-aa9c-77c1c93c4b97", | ||
5 | "extras": [], | 5 | "extras": [], | ||
n | 6 | "groups": [], | n | 6 | "groups": [ |
7 | { | ||||
8 | "description": "", | ||||
9 | "display_name": "Population ", | ||||
10 | "id": "ad455715-07fc-421f-aef4-780b25b9c67a", | ||||
11 | "image_display_url": "", | ||||
12 | "name": "population", | ||||
13 | "title": "Population " | ||||
14 | } | ||||
15 | ], | ||||
7 | "id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | 16 | "id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | ||
8 | "isopen": true, | 17 | "isopen": true, | ||
9 | "license_id": "cc-by", | 18 | "license_id": "cc-by", | ||
10 | "license_title": "Creative Commons Attribution", | 19 | "license_title": "Creative Commons Attribution", | ||
11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 20 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
12 | "maintainer": "Heiko Heilgendorff", | 21 | "maintainer": "Heiko Heilgendorff", | ||
13 | "maintainer_email": "[email protected]", | 22 | "maintainer_email": "[email protected]", | ||
14 | "metadata_created": "2022-11-09T07:38:59.196023", | 23 | "metadata_created": "2022-11-09T07:38:59.196023", | ||
n | 15 | "metadata_modified": "2022-11-09T07:42:38.647745", | n | 24 | "metadata_modified": "2022-11-09T07:48:11.408260", |
16 | "name": "mapping_geo_data_python_tutorial", | 25 | "name": "mapping_geo_data_python_tutorial", | ||
17 | "notes": "This is the data used in the set of tutorials on creating | 26 | "notes": "This is the data used in the set of tutorials on creating | ||
18 | interactive maps with python.", | 27 | interactive maps with python.", | ||
19 | "num_resources": 2, | 28 | "num_resources": 2, | ||
20 | "num_tags": 1, | 29 | "num_tags": 1, | ||
21 | "organization": { | 30 | "organization": { | ||
22 | "approval_status": "approved", | 31 | "approval_status": "approved", | ||
23 | "created": "2021-03-02T20:11:31.216694", | 32 | "created": "2021-03-02T20:11:31.216694", | ||
24 | "description": "Data sets created within the Africa Data Hub", | 33 | "description": "Data sets created within the Africa Data Hub", | ||
25 | "id": "c1ccd7e6-2679-4568-a127-15e0611eb90f", | 34 | "id": "c1ccd7e6-2679-4568-a127-15e0611eb90f", | ||
26 | "image_url": "2021-05-03-141655.125036logoadhwide.png", | 35 | "image_url": "2021-05-03-141655.125036logoadhwide.png", | ||
27 | "is_organization": true, | 36 | "is_organization": true, | ||
28 | "name": "africa-data-hub", | 37 | "name": "africa-data-hub", | ||
29 | "revision_id": "9028b885-f428-4dfd-8188-683e880755ed", | 38 | "revision_id": "9028b885-f428-4dfd-8188-683e880755ed", | ||
30 | "state": "active", | 39 | "state": "active", | ||
31 | "title": "Africa Data Hub", | 40 | "title": "Africa Data Hub", | ||
32 | "type": "organization" | 41 | "type": "organization" | ||
33 | }, | 42 | }, | ||
34 | "owner_org": "c1ccd7e6-2679-4568-a127-15e0611eb90f", | 43 | "owner_org": "c1ccd7e6-2679-4568-a127-15e0611eb90f", | ||
35 | "private": false, | 44 | "private": false, | ||
36 | "relationships_as_object": [], | 45 | "relationships_as_object": [], | ||
37 | "relationships_as_subject": [], | 46 | "relationships_as_subject": [], | ||
38 | "resources": [ | 47 | "resources": [ | ||
39 | { | 48 | { | ||
40 | "cache_last_updated": null, | 49 | "cache_last_updated": null, | ||
41 | "cache_url": null, | 50 | "cache_url": null, | ||
42 | "created": "2022-11-09T07:41:14.493479", | 51 | "created": "2022-11-09T07:41:14.493479", | ||
43 | "datastore_active": false, | 52 | "datastore_active": false, | ||
44 | "description": "Map of the eThekwini municipal boundaries used | 53 | "description": "Map of the eThekwini municipal boundaries used | ||
45 | in the interactive mapping tutorials", | 54 | in the interactive mapping tutorials", | ||
46 | "format": "", | 55 | "format": "", | ||
47 | "hash": "", | 56 | "hash": "", | ||
48 | "id": "77fd899c-a522-4d0a-a7de-21e6684bc945", | 57 | "id": "77fd899c-a522-4d0a-a7de-21e6684bc945", | ||
49 | "last_modified": "2022-11-09T07:41:14.462026", | 58 | "last_modified": "2022-11-09T07:41:14.462026", | ||
50 | "mimetype": null, | 59 | "mimetype": null, | ||
51 | "mimetype_inner": null, | 60 | "mimetype_inner": null, | ||
n | 52 | "name": "gdf_etk.geojson", | n | 61 | "name": "eThekwini_municipal_boundary.geojson", |
53 | "package_id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | 62 | "package_id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | ||
54 | "position": 0, | 63 | "position": 0, | ||
55 | "resource_type": null, | 64 | "resource_type": null, | ||
t | 56 | "revision_id": "7085d64d-bf21-4e5e-8c2f-606409b22c29", | t | 65 | "revision_id": "0b6f7685-e7a2-45fa-8061-bc81be9d871f", |
57 | "size": null, | 66 | "size": null, | ||
58 | "state": "active", | 67 | "state": "active", | ||
59 | "url": | 68 | "url": | ||
60 | source/77fd899c-a522-4d0a-a7de-21e6684bc945/download/gdf_etk.geojson", | 69 | source/77fd899c-a522-4d0a-a7de-21e6684bc945/download/gdf_etk.geojson", | ||
61 | "url_type": "upload" | 70 | "url_type": "upload" | ||
62 | }, | 71 | }, | ||
63 | { | 72 | { | ||
64 | "cache_last_updated": null, | 73 | "cache_last_updated": null, | ||
65 | "cache_url": null, | 74 | "cache_url": null, | ||
66 | "created": "2022-11-09T07:42:38.128296", | 75 | "created": "2022-11-09T07:42:38.128296", | ||
67 | "datastore_active": false, | 76 | "datastore_active": false, | ||
68 | "description": "This is the combined data taken from | 77 | "description": "This is the combined data taken from | ||
69 | ps://data.humdata.org/dataset/highresolutionpopulationdensitymaps-zaf) | 78 | ps://data.humdata.org/dataset/highresolutionpopulationdensitymaps-zaf) | ||
70 | where we have extracted the data for eThekwini and combined it into 1 | 79 | where we have extracted the data for eThekwini and combined it into 1 | ||
71 | dataset to be used in the interactive mapping tutorials", | 80 | dataset to be used in the interactive mapping tutorials", | ||
72 | "format": "", | 81 | "format": "", | ||
73 | "hash": "", | 82 | "hash": "", | ||
74 | "id": "1b4d5e86-5a2f-4e5c-b5e4-171d20d83163", | 83 | "id": "1b4d5e86-5a2f-4e5c-b5e4-171d20d83163", | ||
75 | "last_modified": "2022-11-09T07:42:38.094040", | 84 | "last_modified": "2022-11-09T07:42:38.094040", | ||
76 | "mimetype": null, | 85 | "mimetype": null, | ||
77 | "mimetype_inner": null, | 86 | "mimetype_inner": null, | ||
78 | "name": "data.geojson", | 87 | "name": "data.geojson", | ||
79 | "package_id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | 88 | "package_id": "36b0501c-0646-40ee-b2c7-1b71f5ac838e", | ||
80 | "position": 1, | 89 | "position": 1, | ||
81 | "resource_type": null, | 90 | "resource_type": null, | ||
82 | "revision_id": "ee8836ce-6394-41fb-9762-9d167a03b38a", | 91 | "revision_id": "ee8836ce-6394-41fb-9762-9d167a03b38a", | ||
83 | "size": null, | 92 | "size": null, | ||
84 | "state": "active", | 93 | "state": "active", | ||
85 | "url": | 94 | "url": | ||
86 | urce/1b4d5e86-5a2f-4e5c-b5e4-171d20d83163/download/gdf_final.geojson", | 95 | urce/1b4d5e86-5a2f-4e5c-b5e4-171d20d83163/download/gdf_final.geojson", | ||
87 | "url_type": "upload" | 96 | "url_type": "upload" | ||
88 | } | 97 | } | ||
89 | ], | 98 | ], | ||
90 | "revision_id": "ee8836ce-6394-41fb-9762-9d167a03b38a", | 99 | "revision_id": "ee8836ce-6394-41fb-9762-9d167a03b38a", | ||
91 | "state": "active", | 100 | "state": "active", | ||
92 | "tags": [ | 101 | "tags": [ | ||
93 | { | 102 | { | ||
94 | "display_name": "population", | 103 | "display_name": "population", | ||
95 | "id": "0020415a-6815-440e-96c9-b4e4a7b58464", | 104 | "id": "0020415a-6815-440e-96c9-b4e4a7b58464", | ||
96 | "name": "population", | 105 | "name": "population", | ||
97 | "state": "active", | 106 | "state": "active", | ||
98 | "vocabulary_id": null | 107 | "vocabulary_id": null | ||
99 | } | 108 | } | ||
100 | ], | 109 | ], | ||
101 | "title": "mapping_geo_data_python_tutorial", | 110 | "title": "mapping_geo_data_python_tutorial", | ||
102 | "type": "dataset", | 111 | "type": "dataset", | ||
103 | "url": | 112 | "url": | ||
104 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-zaf", | 113 | s://data.humdata.org/dataset/highresolutionpopulationdensitymaps-zaf", | ||
105 | "version": "" | 114 | "version": "" | ||
106 | } | 115 | } |