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kartoza / GEEST

Gender Enabling Environments Spatial Tool (GEEST)
https://worldbank.github.io/GEEST/
MIT License
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Factor: Women's Travel Patterns - Subfactor: Location of kindergartens/childcare #39

Open timlinux opened 5 months ago

timlinux commented 5 months ago

Source from : OSM, Humdata

[out:xml] [timeout:25];
 {{geocodeArea:Saint Lucia}} -> .area_0;
(
    node["amenity"="kindergarten"](area.area_0);
    way["amenity"="kindergarten"](area.area_0);
    relation["amenity"="kindergarten"](area.area_0);
);
(._;>;);
out body;

This factor is assessed through network analyses to calculate catchment areas using Open Route Service. After each analysis, the territory is divided into 100m x 100m rasters, and the factor score is calculated as the average score within each raster. The scoring for each type of facility is categorized by distance as follows:

0 to 400 meters: 5 401 to 800 meters: 4 801 to 1200 meters: 3 1201 to 1500 meters: 2 1501 to 2000 meters: 1 Over 2000 meters: 0

carolinamayh commented 4 months ago

Primary schools and kindergartens should be considered as a single feature. @osundwajeff

ClaraIV commented 4 months ago

linked to #40

ClaraIV commented 3 months ago

@osundwajeff I linked this to ticket #75, please see specifications there. I mentioned they are changed, once we reviewed it all. Please follow the specifications there for the renaming, sorry for any confusion.