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": "Hungary",
6
  "coverage": "Hungary",
            
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://worldpop.org",
9
  "data_source": "https://worldpop.org",
            
10
  "dataset_dimension": "Dataset",
10
  "dataset_dimension": "Dataset",
            
11
  "date_validity": "2022-01-01",
11
  "date_validity": "2022-01-01",
            
12
  "dimension": "",
12
  "dimension": "",
            
13
  "for_sale": "For sale",
13
  "for_sale": "For sale",
            
14
  "geometry": "Point",
14
  "geometry": "Point",
            
15
  "groups": [],
15
  "groups": [],
            
16
  "id": "cf3ceddb-ab7b-4957-b44b-e752176c8aca",
16
  "id": "cf3ceddb-ab7b-4957-b44b-e752176c8aca",
            
17
  "isopen": false,
17
  "isopen": false,
            
18
  "license_id": null,
18
  "license_id": null,
            
19
  "license_title": null,
19
  "license_title": null,
            
20
  "lowest_granularity": "Lower than municipalities",
20
  "lowest_granularity": "Lower than municipalities",
            
21
  "maintainer": null,
21
  "maintainer": null,
            
22
  "maintainer_email": null,
22
  "maintainer_email": null,
            
23
  "metadata_created": "2023-03-01T13:30:51.532670",
23
  "metadata_created": "2023-03-01T13:30:51.532670",
            
n
24
  "metadata_modified": "2023-03-30T13:30:35.822695",
n
24
  "metadata_modified": "2023-11-04T00:26:56.090658",
            
25
  "name": "population-in-hungary-worldpop",
25
  "name": "population-in-hungary-worldpop",
            
26
  "notes": "This dataset contains the population in Hungary. The data 
26
  "notes": "This dataset contains the population in Hungary. The data 
            
27
was adjusted based on the Corine Landcover and also the official 
27
was adjusted based on the Corine Landcover and also the official 
            
28
figures from Hungarian Statistical Office (KSU) relevant to 1. January 
28
figures from Hungarian Statistical Office (KSU) relevant to 1. January 
            
29
2022.",
29
2022.",
            
30
  "num_resources": 1,
30
  "num_resources": 1,
            
31
  "num_tags": 4,
31
  "num_tags": 4,
            
32
  "organization": {
32
  "organization": {
            
33
    "approval_status": "approved",
33
    "approval_status": "approved",
            
34
    "created": "2023-01-29T16:55:22.816154",
34
    "created": "2023-01-29T16:55:22.816154",
            
35
    "description": "WorldPop was initiated in October 2013 to combine 
35
    "description": "WorldPop was initiated in October 2013 to combine 
            
36
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
36
the AfriPop, AsiaPop and AmeriPop population mapping projects. It aims 
            
37
to provide an open access archive of spatial demographic datasets for 
37
to provide an open access archive of spatial demographic datasets for 
            
38
Central and South America, Africa and Asia to support development, 
38
Central and South America, Africa and Asia to support development, 
            
39
disaster response and health applications. The methods used are 
39
disaster response and health applications. The methods used are 
            
40
designed with full open access and operational application in mind, 
40
designed with full open access and operational application in mind, 
            
41
using transparent, fully documented and peer-reviewed methods to 
41
using transparent, fully documented and peer-reviewed methods to 
            
42
produce easily updatable maps with accompanying metadata and measures 
42
produce easily updatable maps with accompanying metadata and measures 
            
43
of uncertainty.",
43
of uncertainty.",
            
44
    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
44
    "id": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
45
    "image_url": 
45
    "image_url": 
            
46
rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
46
rldpop.org/resources/wp_logo/high_resolution/wp_logotype_navy_hi.png",
            
47
    "is_organization": true,
47
    "is_organization": true,
            
48
    "name": "worldpop",
48
    "name": "worldpop",
            
49
    "state": "active",
49
    "state": "active",
            
50
    "title": "WorldPop",
50
    "title": "WorldPop",
            
51
    "type": "organization"
51
    "type": "organization"
            
52
  },
52
  },
            
53
  "owner_org": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
53
  "owner_org": "3c08cb3e-ff03-4482-b434-cff362f6cffe",
            
n
54
  "price_dataset_one_time": "35000",
n
54
  "price_notes": "For more information, please see: 
            
55
  "price_notes": "Please find the relevant documents for price 

            
56
creation 

            
57
hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g130967a04fb_0_21",
55
hleeX2B7t-F3PBmt8GHvBY-XCz_ka41mVZ7A/edit#slide=id.g285d7f3e446_0_15",
            
58
  "private": false,
56
  "private": false,
            
59
  "relationships_as_object": [],
57
  "relationships_as_object": [],
            
60
  "relationships_as_subject": [],
58
  "relationships_as_subject": [],
            
61
  "resources": [
59
  "resources": [
            
62
    {
60
    {
            
63
      "cache_last_updated": null,
61
      "cache_last_updated": null,
            
64
      "cache_url": null,
62
      "cache_url": null,
            
65
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
63
      "ckan_url": "https://datacatalog.ps.cleveranalytics.com",
            
66
      "created": "2022-12-20T14:37:08.673374",
64
      "created": "2022-12-20T14:37:08.673374",
            
67
      "datastore_active": true,
65
      "datastore_active": true,
            
68
      "datastore_contains_all_records_of_source_file": false,
66
      "datastore_contains_all_records_of_source_file": false,
            
69
      "description": "Original points, adjusted based on Corine 
67
      "description": "Original points, adjusted based on Corine 
            
70
landcover and official data from KSU (Hungarian Statistical Office)",
68
landcover and official data from KSU (Hungarian Statistical Office)",
            
71
      "format": "CSV",
69
      "format": "CSV",
            
72
      "hash": "df7ba09cc9409af7745000d4adc4baad",
70
      "hash": "df7ba09cc9409af7745000d4adc4baad",
            
73
      "id": "31035282-feb2-4d67-bd20-034328af4919",
71
      "id": "31035282-feb2-4d67-bd20-034328af4919",
            
74
      "ignore_hash": true,
72
      "ignore_hash": true,
            
75
      "last_modified": null,
73
      "last_modified": null,
            
76
      "map": 
74
      "map": 
            
77
ap/population_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
75
ap/population_view?token=he2w0Y3gnLF1hFKufYiw1xqUv7ZKNvidPFaMOwyr2e0",
            
t
78
      "metadata_modified": "2023-03-30T13:30:35.826250",
t
76
      "metadata_modified": "2023-11-04T00:26:56.094149",
            
79
      "mimetype": "text/csv",
77
      "mimetype": "text/csv",
            
80
      "mimetype_inner": null,
78
      "mimetype_inner": null,
            
81
      "name": "Population",
79
      "name": "Population",
            
82
      "original_url": 
80
      "original_url": 
            
83
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
81
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
            
84
      "package_id": "cf3ceddb-ab7b-4957-b44b-e752176c8aca",
82
      "package_id": "cf3ceddb-ab7b-4957-b44b-e752176c8aca",
            
85
      "position": 0,
83
      "position": 0,
            
86
      "resource_id": "31035282-feb2-4d67-bd20-034328af4919",
84
      "resource_id": "31035282-feb2-4d67-bd20-034328af4919",
            
87
      "resource_type": null,
85
      "resource_type": null,
            
88
      "s3link": 
86
      "s3link": 
            
89
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
87
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
            
90
      "set_url_type": false,
88
      "set_url_type": false,
            
91
      "size": null,
89
      "size": null,
            
92
      "state": "active",
90
      "state": "active",
            
93
      "task_created": "2023-03-16 10:54:20.661985",
91
      "task_created": "2023-03-16 10:54:20.661985",
            
94
      "url": 
92
      "url": 
            
95
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
93
/undimensioned/worldpop/hungary/hu_population_2020_corine_points.csv",
            
96
      "url_type": null
94
      "url_type": null
            
97
    }
95
    }
            
98
  ],
96
  ],
            
99
  "state": "active",
97
  "state": "active",
            
100
  "tags": [
98
  "tags": [
            
101
    {
99
    {
            
102
      "display_name": "Demography",
100
      "display_name": "Demography",
            
103
      "id": "50d7a3b3-1d96-42e5-aa2d-a6bc45da5da8",
101
      "id": "50d7a3b3-1d96-42e5-aa2d-a6bc45da5da8",
            
104
      "name": "Demography",
102
      "name": "Demography",
            
105
      "state": "active",
103
      "state": "active",
            
106
      "vocabulary_id": null
104
      "vocabulary_id": null
            
107
    },
105
    },
            
108
    {
106
    {
            
109
      "display_name": "Hungary",
107
      "display_name": "Hungary",
            
110
      "id": "bfebed20-1c1f-4b88-a665-418ed850b551",
108
      "id": "bfebed20-1c1f-4b88-a665-418ed850b551",
            
111
      "name": "Hungary",
109
      "name": "Hungary",
            
112
      "state": "active",
110
      "state": "active",
            
113
      "vocabulary_id": null
111
      "vocabulary_id": null
            
114
    },
112
    },
            
115
    {
113
    {
            
116
      "display_name": "Population",
114
      "display_name": "Population",
            
117
      "id": "e6c2b3bc-fc24-4872-863d-afc349aa1594",
115
      "id": "e6c2b3bc-fc24-4872-863d-afc349aa1594",
            
118
      "name": "Population",
116
      "name": "Population",
            
119
      "state": "active",
117
      "state": "active",
            
120
      "vocabulary_id": null
118
      "vocabulary_id": null
            
121
    },
119
    },
            
122
    {
120
    {
            
123
      "display_name": "WorldPop",
121
      "display_name": "WorldPop",
            
124
      "id": "999db986-e7a0-4265-922a-9acad4f726c6",
122
      "id": "999db986-e7a0-4265-922a-9acad4f726c6",
            
125
      "name": "WorldPop",
123
      "name": "WorldPop",
            
126
      "state": "active",
124
      "state": "active",
            
127
      "vocabulary_id": null
125
      "vocabulary_id": null
            
128
    }
126
    }
            
129
  ],
127
  ],
            
130
  "title": "Population in Hungary (WorldPop)",
128
  "title": "Population in Hungary (WorldPop)",
            
131
  "type": "dataset",
129
  "type": "dataset",
            
132
  "url": null,
130
  "url": null,
            
133
  "use_cases": 
131
  "use_cases": 
            
134
ps.io/service-availability,https://www.clevermaps.io/site-evaluation",
132
ps.io/service-availability,https://www.clevermaps.io/site-evaluation",
            
135
  "use_cases_description": "Make a wise, data-driven decision by 
133
  "use_cases_description": "Make a wise, data-driven decision by 
            
136
selecting the right locations for transforming your branch network 
134
selecting the right locations for transforming your branch network 
            
137
without it having an impact on the branch performance.,Finding out the 
135
without it having an impact on the branch performance.,Finding out the 
            
138
real catchment areas of your branches and comparing them with driving 
136
real catchment areas of your branches and comparing them with driving 
            
139
or walking catchment areas can help you optimizing the locations of 
137
or walking catchment areas can help you optimizing the locations of 
            
140
your branches.,Analyze\u00a0the availability of the specific type of 
138
your branches.,Analyze\u00a0the availability of the specific type of 
            
141
service, e.g., cuisine in particular times and areas and use the 
139
service, e.g., cuisine in particular times and areas and use the 
            
142
spatial insights to place your new business 
140
spatial insights to place your new business 
            
143
correctly.,Evaluate\u00a0the retail potential of any address and 
141
correctly.,Evaluate\u00a0the retail potential of any address and 
            
144
measure its attractiveness within its natural catchment 
142
measure its attractiveness within its natural catchment 
            
145
area.\u00a0Choosing the right place for you business has never been 
143
area.\u00a0Choosing the right place for you business has never been 
            
146
easier.",
144
easier.",
            
147
  "version": null,
145
  "version": null,
            
148
  "visualization": "Heatmap,Polygon,Grid"
146
  "visualization": "Heatmap,Polygon,Grid"
            
149
}
147
}