Table 1.

Separability (S_i,i+1) and within-class variability (V) for each class or class break and unevenness (UE) by classification methods.

	JNB (Figure 6 top)		CS (Figure 6 middle)		MC (starting with JNB, Figure 6 bottom)		MC (starting with JNB, Figure 8 bottom)		MC (starting with EI, Figure 8 top)		MC (starting with Q, Figure 8 middle)
Classes	S i,i+1	V	S i,i+1	V	S i,i+1	V	S i,i+1	V	S i,i+1	V	S i,i+1	V
1		75		0		75		69		40		83
(1–2)	56		100		56		44		80		25
2		50		0		50		41		43		27
(2–3)	8		99		8		18		47		28
3		46		8		46		34		40		21
(3–4)	18		95		18		17		17.4		5
4		50		0		56		39		41		24
(4–5)	8		93		64		23		9.5		3
5		80		194		74		43		40		34
(5–6)							64		10.7		8
6								74		39		104
									64
7										35
									60
8										44
Mean	22	60	97	101	37	60	33	50	41	40	14	49
UE	77		315		80		58		80		2

Notes: CS: class separability; JNB: Jenks’s natural breaks; MC: multi-criteria; EI: equal interval; Q: quantile.

Under the “Classes” column, the single digits (1, 2, 3, …8) refer to the classes, and the numbers inside the parentheses (e.g., (1–2), (2–3), etc., refer to the break values between the corresponding classes. Averaged values of all S_i,i+1 and V values for each column were reported as “mean”. The 100% value is due to rounding, and the 0 value in V was because there was only one estimate in that class.