Table 2.

Spatial dependence captured by spatial weight matrices.

Spatial Weight Matrix	Moran's I	Mean Number of Neighbors
2 Nearest Neighbors	0.647⁎⁎⁎	2.00
3 Nearest Neighbors	0.614⁎⁎⁎	3.00
4 Nearest Neighbors	0.595⁎⁎⁎	4.00
2 Nearest Neighbors, Inverse	0.647⁎⁎⁎	2.00
3 Nearest Neighbors, Inverse	0.648⁎⁎⁎	3.00
4 Nearest Neighbors, Inverse	0.622⁎⁎⁎	4.00
Queen's Continuity, Order 1	0.667⁎⁎⁎	3.63
Queen's Continuity, Order 2	0.563⁎⁎⁎	9.15
Distance – 85 kms	0.550⁎⁎⁎	2.45
Distance – 100 kms	0.612⁎⁎⁎	3.48
Distance – 115 kms	0.615⁎⁎⁎	4.72
Distance – 130 kms	0.590⁎⁎⁎	5.96
Inverse Distance – 85 kms	0.593⁎⁎⁎	2.45
Inverse Distance – 100 kms	0.601⁎⁎⁎	3.48
Inverse Distance – 115 kms	0.596⁎⁎⁎	4.72
Inverse Distance – 130 kms	0.590⁎⁎⁎	5.96

*p < .05. **p < .01.

^⁎⁎⁎p < .001. Moran's I, higher = better.