@@ -51,7 +51,7 @@ Neighbourhoods are represented as [GeoJSON objects](https://geojson.org/) and in
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@@ -51,7 +51,7 @@ Neighbourhoods are represented as [GeoJSON objects](https://geojson.org/) and in
To add new neighbourhoods, it is necessary to store them as GeoJSON and make them accessible by Predihood. Besides, some neighbourhoods have to be manually annotated (i.e., giving a value for each of the six environment variables).
To add new neighbourhoods, it is necessary to store them as GeoJSON and make them accessible by Predihood. Besides, some neighbourhoods have to be manually annotated (i.e., giving a value for each of the six environment variables).
The current version of Predihood is bundled with data from France using the [mongiris](https://gitlab.liris.cnrs.fr/fduchate/mongiris) project (in which unit division named IRIS stand for neighbourhoods).
The current version of Predihood is bundled with data from France using the [mongiris](https://gitlab.liris.cnrs.fr/fduchate/mongiris) project (in which unit divisions named [IRIS](https://www.insee.fr/en/metadonnees/definition/c1523/) stand for neighbourhoods).
It includes about 50,000 neighbourhoods with 640 indicators, and 270 neighbouhoods were annotated by social science researchers (one to two hours per neighbourhood to investigate building and streets pictures, parked cars, facilities and green areas from services such as Google Street View).
It includes about 50,000 neighbourhoods with 640 indicators, and 270 neighbouhoods were annotated by social science researchers (one to two hours per neighbourhood to investigate building and streets pictures, parked cars, facilities and green areas from services such as Google Street View).
