ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
Zava's goal was to pinpoint the healthiest areas in France. To achieve this, they acquired French OSM data and stored it in a PostGIS database for easy data querying. They employed various leisure and health-related tags to filter the data and identify points of interest. To achieve a more granular view, they combined this data with a NUTS level 3 shapefile.
2
3
The number of health professionals and dieticians have been taken from french statistics website insee.fr as well as drees database.
4
5
It's important to note that the dataset excluded overseas territories such as Guadeloupe, Martinique, Guyane, La Réunion, and Mayotte.
6
7
Zava also collected Copernicus Atmosphere Data to assess major pollutants in France for January 2024. They focused on pollutants like Carbon Monoxide (CO), Non-Methane Volatile Organic Compounds (NMVOCs), Nitrogen Dioxide (NO₂), Ozone (O₃), Particulate Matter (PM10 and PM2.5), and Sulfur Dioxide (SO₂), all of which can impact human health negatively.
8
9
They then computed a pollutant severity score, where a higher score indicated a greater risk to residents due to elevated pollutant levels. Additionally, they refined the OSM data to identify unhealthy shops and establishments like bars and pubs.
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100