Climate Demo (Lao PDR)

Org-unit aggregation workflow that exports CHAP-ready wide CSV. Loads a published GeoZarr dataset over a time range, spatially aggregates its variable(s) within each GeoJSON feature (e.g. a DHIS2 organisation unit) using the chosen method, and writes one row per location-period with columns time_period, location, and one column per variable.

Each feature's GeoJSON id becomes the location, each time step becomes time_period (formatted according to period_type). Aggregation is at the dataset's native temporal resolution, so set period_type to match it (e.g. month for a monthly dataset). This is the same pipeline as aggregate_to_dhis2_json but emits CHAP CSV instead of DHIS2 JSON.

Usage — call this process as the result of a process graph:

{
  "agg": {
    "process_id": "aggregate_to_chap_csv",
    "arguments": {
      "dataset_id": "era5land_precipitation_monthly",
      "temporal_extent": ["2025-01-01", "2025-12-31"],
      "geometries": { "type": "FeatureCollection", "features": [ ... ] },
      "method": "mean",
      "period_type": "month"
    },
    "result": true
  }
}