Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
2
  "author": "Franti\u0161ek Pavl\u00ed\u010dek",
            
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
3
  "author_email": "frantisek.pavlicek@clevermaps.io",
            
4
  "availability": "Available",
4
  "availability": "Available",
            
5
  "category": "Demography",
5
  "category": "Demography",
            
6
  "coverage": "Italy",
6
  "coverage": "Italy",
            
7
  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
7
  "creator_user_id": "e2185bb8-8a2a-457e-a273-2e757a7866d8",
            
8
  "crs": "4326 (WGS84)",
8
  "crs": "4326 (WGS84)",
            
9
  "data_source": "https://www.worldpop.org/",
9
  "data_source": "https://www.worldpop.org/",
            
10
  "dataset_dimension": "Dataset",
10
  "dataset_dimension": "Dataset",
            
11
  "date_validity": "2020-01-01",
11
  "date_validity": "2020-01-01",
            
12
  "dimension": 
12
  "dimension": 
            
13
"https://secure.clevermaps.io/#/projectList/project/r4g5g924h2n76e0h",
13
"https://secure.clevermaps.io/#/projectList/project/r4g5g924h2n76e0h",
            
14
  "for_sale": "For sale",
14
  "for_sale": "For sale",
            
15
  "geometry": "Point",
15
  "geometry": "Point",
            
16
  "groups": [],
16
  "groups": [],
            
17
  "id": "fd6e9e6d-2342-47b6-83c1-a58df3457917",
17
  "id": "fd6e9e6d-2342-47b6-83c1-a58df3457917",
            
18
  "isopen": false,
18
  "isopen": false,
            
19
  "license_id": null,
19
  "license_id": null,
            
20
  "license_title": null,
20
  "license_title": null,
            
21
  "lowest_granularity": "Not relevant",
21
  "lowest_granularity": "Not relevant",
            
22
  "maintainer": null,
22
  "maintainer": null,
            
23
  "maintainer_email": null,
23
  "maintainer_email": null,
            
24
  "metadata_created": "2023-03-01T13:32:31.207658",
24
  "metadata_created": "2023-03-01T13:32:31.207658",
            
n
25
  "metadata_modified": "2023-03-30T13:31:51.661559",
n
25
  "metadata_modified": "2023-11-04T00:29:27.565561",
            
26
  "name": "age-and-gender-structure-in-italy-worldpop",
26
  "name": "age-and-gender-structure-in-italy-worldpop",
            
27
  "notes": "This dataset contains the age and gender structure in 
27
  "notes": "This dataset contains the age and gender structure in 
            
28
Italy collected from WorldPop data. If the data is available in the 
28
Italy collected from WorldPop data. If the data is available in the 
            
29
selected country, CleverMaps adjusts the original data based on the 
29
selected country, CleverMaps adjusts the original data based on the 
            
30
Corine landcover database. You can choose, whether you want to 
30
Corine landcover database. You can choose, whether you want to 
            
31
visualize the data on grid, some administrative division or heatmap.",
31
visualize the data on grid, some administrative division or heatmap.",
            
32
  "num_resources": 1,
32
  "num_resources": 1,
            
33
  "num_tags": 6,
33
  "num_tags": 6,
            
34
  "organization": {
34
  "organization": {
            
35
    "approval_status": "approved",
35
    "approval_status": "approved",
            
36
    "created": "2023-01-29T16:55:22.816154",
36
    "created": "2023-01-29T16:55:22.816154",
            
37
    "description": "WorldPop was initiated in October 2013 to combine 
37
    "description": "WorldPop was initiated in October 2013 to combine 
            
38
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
38
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
            
39
to provide an open access archive of spatial demographic datasets for 
39
to provide an open access archive of spatial demographic datasets for 
            
40
Central and South America, Africa and Asia to support development, 
40
Central and South America, Africa and Asia to support development, 
            
41
disaster response and health applications. The methods used are 
41
disaster response and health applications. The methods used are 
            
42
designed with full open access and operational application in mind, 
42
designed with full open access and operational application in mind, 
            
43
using transparent, fully documented and peer-reviewed methods to 
43
using transparent, fully documented and peer-reviewed methods to 
            
44
produce easily updatable maps with accompanying metadata and measures 
44
produce easily updatable maps with accompanying metadata and measures 
            
45
of uncertainty.",
45
of uncertainty.",
            
46
    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
46
    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
47
    "image_url": 
47
    "image_url": 
            
48
rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
48
rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
            
49
    "is_organization": true,
49
    "is_organization": true,
            
50
    "name": "worldpop",
50
    "name": "worldpop",
            
51
    "state": "active",
51
    "state": "active",
            
52
    "title": "WorldPop",
52
    "title": "WorldPop",
            
53
    "type": "organization"
53
    "type": "organization"
            
54
  },
54
  },
            
55
  "owner_org": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
55
  "owner_org": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
n
56
  "price_dataset_one_time": "50000",
n
56
  "price_notes": "For more information, please see: 
            
57
  "price_notes": "Please find the relevant documents for price 

            
58
creation 

            
59
hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g130967a04fb_0_21",
57
hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g285d7f3e446_0_15",
            
60
  "private": false,
58
  "private": false,
            
61
  "relationships_as_object": [],
59
  "relationships_as_object": [],
            
62
  "relationships_as_subject": [],
60
  "relationships_as_subject": [],
            
63
  "resources": [
61
  "resources": [
            
64
    {
62
    {
            
65
      "cache_last_updated": null,
63
      "cache_last_updated": null,
            
66
      "cache_url": null,
64
      "cache_url": null,
            
67
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
65
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
68
      "created": "2022-04-22T08:41:45.801816",
66
      "created": "2022-04-22T08:41:45.801816",
            
69
      "datastore_active": true,
67
      "datastore_active": true,
            
70
      "datastore_contains_all_records_of_source_file": false,
68
      "datastore_contains_all_records_of_source_file": false,
            
71
      "description": "Aggregated on H3 grid level 9, adjusted based on 
69
      "description": "Aggregated on H3 grid level 9, adjusted based on 
            
72
Corine Landcover",
70
Corine Landcover",
            
73
      "format": "CSV",
71
      "format": "CSV",
            
74
      "hash": "8dbb78398768c4878156ea07612853ce",
72
      "hash": "8dbb78398768c4878156ea07612853ce",
            
75
      "id": "07e91fbd-8f35-48fe-a617-7290ffc7510b",
73
      "id": "07e91fbd-8f35-48fe-a617-7290ffc7510b",
            
76
      "ignore_hash": true,
74
      "ignore_hash": true,
            
77
      "last_modified": null,
75
      "last_modified": null,
            
78
      "map": 
76
      "map": 
            
79
ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
77
ap/demography_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
t
80
      "metadata_modified": "2023-03-30T13:31:51.665177",
t
78
      "metadata_modified": "2023-11-04T00:29:27.569221",
            
81
      "mimetype": "text/csv",
79
      "mimetype": "text/csv",
            
82
      "mimetype_inner": null,
80
      "mimetype_inner": null,
            
83
      "name": "Age and gender structure",
81
      "name": "Age and gender structure",
            
84
      "original_url": 
82
      "original_url": 
            
85
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
83
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
            
86
      "package_id": "fd6e9e6d-2342-47b6-83c1-a58df3457917",
84
      "package_id": "fd6e9e6d-2342-47b6-83c1-a58df3457917",
            
87
      "position": 0,
85
      "position": 0,
            
88
      "resource_id": "07e91fbd-8f35-48fe-a617-7290ffc7510b",
86
      "resource_id": "07e91fbd-8f35-48fe-a617-7290ffc7510b",
            
89
      "resource_type": null,
87
      "resource_type": null,
            
90
      "s3link": 
88
      "s3link": 
            
91
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
89
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
            
92
      "set_url_type": false,
90
      "set_url_type": false,
            
93
      "size": null,
91
      "size": null,
            
94
      "state": "active",
92
      "state": "active",
            
95
      "task_created": "2023-03-16 10:54:38.095518",
93
      "task_created": "2023-03-16 10:54:38.095518",
            
96
      "url": 
94
      "url": 
            
97
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
95
ndimensioned/worldpop/italy/ita_age_structure_2020_corine_h3grid.csv",
            
98
      "url_type": null
96
      "url_type": null
            
99
    }
97
    }
            
100
  ],
98
  ],
            
101
  "state": "active",
99
  "state": "active",
            
102
  "tags": [
100
  "tags": [
            
103
    {
101
    {
            
104
      "display_name": "Age structure",
102
      "display_name": "Age structure",
            
105
      "id": "32751a44-a59e-45c1-a3ed-74db31f5cf3a",
103
      "id": "32751a44-a59e-45c1-a3ed-74db31f5cf3a",
            
106
      "name": "Age structure",
104
      "name": "Age structure",
            
107
      "state": "active",
105
      "state": "active",
            
108
      "vocabulary_id": null
106
      "vocabulary_id": null
            
109
    },
107
    },
            
110
    {
108
    {
            
111
      "display_name": "Italy",
109
      "display_name": "Italy",
            
112
      "id": "1b89e738-0463-4bf0-9307-191c6ed3a684",
110
      "id": "1b89e738-0463-4bf0-9307-191c6ed3a684",
            
113
      "name": "Italy",
111
      "name": "Italy",
            
114
      "state": "active",
112
      "state": "active",
            
115
      "vocabulary_id": null
113
      "vocabulary_id": null
            
116
    },
114
    },
            
117
    {
115
    {
            
118
      "display_name": "demography",
116
      "display_name": "demography",
            
119
      "id": "f3651aa8-b89f-4a21-8ed9-268e503964be",
117
      "id": "f3651aa8-b89f-4a21-8ed9-268e503964be",
            
120
      "name": "demography",
118
      "name": "demography",
            
121
      "state": "active",
119
      "state": "active",
            
122
      "vocabulary_id": null
120
      "vocabulary_id": null
            
123
    },
121
    },
            
124
    {
122
    {
            
125
      "display_name": "gender structure",
123
      "display_name": "gender structure",
            
126
      "id": "a0d0a1c4-f295-42a0-88b3-3a5cab2e5e73",
124
      "id": "a0d0a1c4-f295-42a0-88b3-3a5cab2e5e73",
            
127
      "name": "gender structure",
125
      "name": "gender structure",
            
128
      "state": "active",
126
      "state": "active",
            
129
      "vocabulary_id": null
127
      "vocabulary_id": null
            
130
    },
128
    },
            
131
    {
129
    {
            
132
      "display_name": "r4g5g924h2n76e0h",
130
      "display_name": "r4g5g924h2n76e0h",
            
133
      "id": "346a0d76-3484-4267-9f23-3765cd8a7392",
131
      "id": "346a0d76-3484-4267-9f23-3765cd8a7392",
            
134
      "name": "r4g5g924h2n76e0h",
132
      "name": "r4g5g924h2n76e0h",
            
135
      "state": "active",
133
      "state": "active",
            
136
      "vocabulary_id": null
134
      "vocabulary_id": null
            
137
    },
135
    },
            
138
    {
136
    {
            
139
      "display_name": "worldpop",
137
      "display_name": "worldpop",
            
140
      "id": "52804975-2097-4a38-ad9e-a57f868f7e08",
138
      "id": "52804975-2097-4a38-ad9e-a57f868f7e08",
            
141
      "name": "worldpop",
139
      "name": "worldpop",
            
142
      "state": "active",
140
      "state": "active",
            
143
      "vocabulary_id": null
141
      "vocabulary_id": null
            
144
    }
142
    }
            
145
  ],
143
  ],
            
146
  "title": "Age and gender structure in Italy (WorldPop)",
144
  "title": "Age and gender structure in Italy (WorldPop)",
            
147
  "type": "dataset",
145
  "type": "dataset",
            
148
  "url": null,
146
  "url": null,
            
149
  "use_cases": 
147
  "use_cases": 
            
150
.io/opportunity-prediction,https://www.clevermaps.io/site-evaluation",
148
.io/opportunity-prediction,https://www.clevermaps.io/site-evaluation",
            
151
  "use_cases_description": "Location data visualized in our platform 
149
  "use_cases_description": "Location data visualized in our platform 
            
152
will help you to analyze the market penetration and you will be able 
150
will help you to analyze the market penetration and you will be able 
            
153
to locate places with previously undiscovered 
151
to locate places with previously undiscovered 
            
154
potential.,Detect\u00a0areas with the most competitive pressure and 
152
potential.,Detect\u00a0areas with the most competitive pressure and 
            
155
identify the line between too many competitors and a beneficial number 
153
identify the line between too many competitors and a beneficial number 
            
156
of competitors to avoid useless costs.,How much revenue can you expect 
154
of competitors to avoid useless costs.,How much revenue can you expect 
            
157
at your new site or what will happen when you close one? Understand 
155
at your new site or what will happen when you close one? Understand 
            
158
how your\u00a0decisions will impact your overall business 
156
how your\u00a0decisions will impact your overall business 
            
159
performance.,Evaluate\u00a0the retail potential of any address and 
157
performance.,Evaluate\u00a0the retail potential of any address and 
            
160
measure its attractiveness within its natural catchment 
158
measure its attractiveness within its natural catchment 
            
161
area.\u00a0Choosing the right place for you business has never been 
159
area.\u00a0Choosing the right place for you business has never been 
            
162
easier.",
160
easier.",
            
163
  "version": null,
161
  "version": null,
            
164
  "visualization": "Polygon,Grid"
162
  "visualization": "Polygon,Grid"
            
165
}
163
}