Files
padelnomics/transform/sqlmesh_padelnomics/config.yaml
Deeman 4e4ff61699 feat(transform): H3 catchment index for Marktpotenzial-Score v3
Add H3 res-4 regional catchment metrics (~15-18km radius, cell + 6
neighbours) to both the addressable market (25pts) and supply gap
(30pts) components of location_opportunity_profile.

Changes:
- config.yaml: add h3 to DuckDB extensions (requires one-time
  INSTALL h3 FROM community on each machine)
- dim_locations: add h3_cell_res4 column via h3_latlng_to_cell()
- location_opportunity_profile: add hex_stats + catchment CTEs;
  update score formula to use catchment_population and
  catchment_padel_courts; expose catchment_population,
  catchment_padel_courts, catchment_venues_per_100k as output cols

Motivation: local population underestimates functional market for
mid-size cities (e.g. Oldenburg ~170K misses surrounding Gemeinden).
H3 k_ring(1) captures the realistic driving-distance catchment
(~462km²) consistently across both score components.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-06 10:19:43 +01:00

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YAML

gateways:
duckdb:
connection:
type: duckdb
catalogs:
local: "{{ env_var('DUCKDB_PATH', 'data/lakehouse.duckdb') }}"
extensions:
- spatial
- h3
default_gateway: duckdb
variables:
LANDING_DIR: "{{ env_var('LANDING_DIR', 'data/landing') }}"
model_defaults:
dialect: duckdb
start: 2025-01-01
cron: '@daily'
default_target_environment: "dev_{{ user() }}"