https://skillscapes.csd.auth.gr:22224/docs

Spatial Data Enrichment API

Spatial data enrichment of official statistics for estimating regional data at finer geographical granularity (NUTS3 level)

GET https://skillscapes.csd.auth.gr:22224/sde

[

{

"geo": "EL301",

"geo name": Voreios Tomeas Athinon,

"total_employment": 256066.38888888888,

},

...

]

GET

/sde

Disaggregate a NUTS2-level variable down to NUTS3 using the correlation-based multi-proportional method. Reference variables are automatically selected based on correlation (Pearson's r > 0.8) with the target variable. Data source: Skillscapes API (Eurostat-derived data) Time period: 2010-2022 NUTS levels: NUTS2 → NUTS3 (only nuts_level=3 is currently supported)

Query Parameters

category - Category of the variable to disaggregate

Required String

e.g., labour

country_code - Country code

Required String

e.g., EL

year - Year filtering

Required Integer

e.g., 2021

nuts_level - NUTS level

Required Integer

e.g., 3

include - Variable to include

Required String

e.g., total_employment

cURL Example

curl -X GET "https://skillscapes.csd.auth.gr:22224/sde?category=labour&country_code=EL&year=2021&nuts_level=3&include=total_employment" \

-H "accept: application/json"

funding scheme