Table 5:

Sample allocations based on the active fire auxiliary variable used to define strata. Unlike the optimal allocations summarized in Table 4 the three sample allocations (EQ, PROP and AF) can be implemented in real validation exercises where the population parameters of the independent reference data are unknown. EQ is equal allocation where the sample size is equal in the high and low fire activity strata, PROP is proportional allocation where the sample is allocated proportionally to the total number of voxels in the stratum (Table 3), AF is the optimal allocation obtained through [22] using the population parameters of the dataset being validated (i.e., the map product used to construct the strata). Results for all allocations are reported as percentages of the sample size allocated to the high and low fire activity stratum of each biome.

Biome	Percentage of the sample allocated to the high fire activity and to the low fire activity stratum (in brackets) of each biome
		EQ	PROP	AF
Tropical Forest	50% (50%)	8% (92%)	66% (34%)
Temperate Forest	50% (50%)	6% (94%)	74% (26%)
Boreal Forest	50% (50%)	1% (99%)	36% (64%)
Tropical Savanna	50% (50%)	11% (79%)	57% (43%)
Temperate Savanna	50% (50%)	5% (95%)	64% (36%)
Mediterranean	50% (50%)	7% (93%)	65% (35%)
Deserts/Xeric Shrublands	50% (50%)	3% (97%)	72% (28%)