Last modified by Vincent Massol on 2024/02/26 17:51

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From version < 15.5 >
edited by slauriere
on 2019/05/28 13:57
To version < 16.1 >
edited by slauriere
on 2019/05/28 13:58
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96 96  
97 97  In order to implement the use cases described above, at some point that will be useful to work with a significant amount of data. This paragraph is about gathering such data. This step can come later in the process, once the basic structure is implemented and a workable prototype is working with data entered manually.
98 98  
99 -Several strategies:
100 -
99 +Open data sources of geolocalized data:
101 101  * OpenStreetMap: choose a large city, download shapes, transports, paths related to that city
102 102  * Wikidata: choose a large city, see what gelocalized data we can retrieve for that city: monuments, points of interests...
103 -* Use open data sources
104 -** Paris / Île-de-France
102 +* Paris Open Data:
105 105  *** [[https:~~/~~/opendata.paris.fr/>>https://opendata.paris.fr/]]
106 106  *** [[https:~~/~~/opendata.stif.info/explore/>>https://opendata.stif.info/explore/]]
107 107  *** [[https:~~/~~/data.ratp.fr/>>https://data.ratp.fr/]]

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