Comments (9)
There are communes that are just one polygon and there are others (mainly the ones that involve little islands) that are multipolygons. Overall, they are pretty well shaped.
This is an example
{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[-70.57270999876738, -33.45890000173364],
[-70.57286000118808, -33.45922000210135],
[-70.57309000010338, -33.45971000221476],
[-70.57331000035617, -33.460190000967714],
[-70.57358999977862, -33.4607700007349],
[-70.5739799988778, -33.461590000777846],
[-70.57428000012186, -33.462240001974465],
... many other coordinates.
]
]
},
"properties": {
"OBJECTID": 276,
"CUT_REG": "13",
"CUT_PROV": "131",
"CUT_COM": "13120",
"PROVINCIA": "Santiago",
"COMUNA": "Ñuñoa",
"REGION": "Metropolitana de Santiago"
}
}
Number in CUT_PROV (province internal id) is composed of the CUT_REG id plus an autonumeric number that represents that Province inside that Region.
Same in Communes id (CUT_COM is CUT_PROV concatenated with an autonumeric id for that commune inside that province.
so Ñuñoa is the twentieth commune inside the first provinces of the thirteenth region of Chile
This would let us calculate boundaries as "Region boundaries (sum of province outer boundaries inside each region)" or "Province boundaries (sum of commune outer boundaries inside each province)" or just commune boundaries.
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Thank you for your interest @silva96.
We will release vector layers for each administrative level (region, province, commune). At the region administrative level we would include the ISO 3166-2 code and the CUT code as fields. At the province and commune levels we would include the CUT code as fields (there is no ISO code at this level). The province and commune boundaries are extremely detailed and will need to be simplified for display in Kibana.
I expect to release these layers in multiple phases.
Phase 1
- Region layer
Phase 2
- Province layer
- Commune layer
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Great to hear that!, please let me know if you need anything from me.
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@silva96 Phase 1 is complete and Chile regions are now available from Elastic Maps Service.
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@nickpeihl, amazing. How do I access to them? Update kibana to latest?
from ems-file-service.
@silva96 They should already be available in all versions of Kibana. You can also see them at https://maps.elastic.co/#file/chile_regions.
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@nickpeihl Thanks a lot this awesome feature. I have one question: is there an api on Elastic's map service that I could use to consume that data?
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@mnavarrocarter The API is strictly governed by the Terms of Service limiting its use to only Elastic products.
However, the vector data itself is licensed as Open Data subject to the requirements of the OpenStreetMap OdBL license. You can download and re-use our vector data from https://maps.elastic.co. There is a "Download GeoJSON" button for each layer on that page.
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Ah great! I think the GeoJSON button will do! Thanks a lot!
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Related Issues (20)
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