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for one place from a categorical ERDDAP griddap slab (seascapeR's\n-- sum_ss_grds_to_ts(): how much of the place is in each class on each date).\n-- s.\"CRW_BAA\" the class expression over the slab alias `s` (e.g. s.\"CLASS\"); cast to BIGINT here\n-- (SELECT DISTINCT * FROM read_parquet([])) the registered griddap file (parquet) or view\n-- mask the mask table: latitude, longitude, weight (0,1]\n-- `fraction` is area-weighted (partial boundary cells count for their overlap) and sums to exactly 1\n-- over the classes of a date; `percent_cells` is the unweighted cell count share.\n-- the join is the same exact equality on ROUND(x, 3) as stats_daily.sql (float32 axis vs float64 mask).\nWITH cells AS (\n SELECT\n -- utc day; via epoch_ms because duckdb-wasm ships without icu, so TIMESTAMPTZ::DATE is unimplemented there\n make_timestamp(epoch_ms(s.\"time\") * 1000)::DATE AS date,\n CAST(s.\"CRW_BAA\" AS BIGINT) AS class,\n m.weight AS weight\n FROM (SELECT DISTINCT * FROM read_parquet([])) s\n JOIN mask m\n ON ROUND(s.latitude::DOUBLE, 3) = ROUND(m.latitude::DOUBLE, 3)\n AND ROUND(s.longitude::DOUBLE, 3) = ROUND(m.longitude::DOUBLE, 3)\n WHERE s.\"CRW_BAA\" IS NOT NULL\n),\ntotals AS (\n SELECT date, count(*) AS n_total, sum(weight) AS weight_total\n FROM cells\n GROUP BY 1\n)\nSELECT\n c.date AS date,\n c.class AS class,\n count(*) AS n,\n sum(c.weight) AS weight,\n sum(c.weight) / any_value(t.weight_total) AS fraction,\n 100.0 * count(*) / any_value(t.n_total) AS percent_cells\nFROM cells c\nJOIN totals t USING (date)\nGROUP BY c.date, c.class\nORDER BY 1, 2" }