Appendix 2—table 1. Parameter values used to generate simulations using numerical solutions to Equation 3 compared to parameter estimates assuming model B.

The age of the allele was set to 29,000 years in all simulations. Columns named ‘long’ and ‘lat’ indicate the longitude and latitude of the geographic origin of the allele, respectively.

Simulation		${\displaystyle s}$	${\displaystyle {\sigma }_x}$ (km2/gen)	${\displaystyle {\sigma }_y}$ (km2/gen)	Long	Lat
		True/pred (95% CI)	True/pred (95% CI)	True/pred (95% CI)	True/pred	True/pred
B1	Sample age >5000	0.02/0.0192 (0.0187 to 0.0196)	10/15.244 (2.5042 to 27.9828)	20/16.963 (11.9263 to 21.9993)	25/24	52/52
	Sample age <5000	0.02/0.0027 (0 to 0.0074)	10/8.805 (0.5631 to 17.0468)	20/97.432 (97.2566 to 97.6081)	–	–
B2	Sample age >5000	0.02/0.0193 (0.0189 to 0.0198)	10/15.348 (0 to 95.5192)	30/20.427 (0 to 51.514)	25/25	52/51
	Sample age <5000	0.02/0.001 (0 to 0.0059)	10/10.015 (1.6837 to 18.3472)	30/100 (99.9933 to 100.0067)	–	–
B3	Sample age >5000	0.02/0.0196 (0.0191 to 0.02)	10/8.149 (6.1551 to 10.143)	40/49.432 (0 to 135.9428)	25/24	52/51
	Sample age <5000	0.02/0.0265 (0.0145 to 0.0386)	10/7.855 (0 to 19.751)	40/100 (99.9933 to 100.0067)	–	–
B4	Sample age >5000	0.02/0.0188 (0.0188 to 0.0188)	20/19.037 (19.0311 to 19.0435)	10/19.254 (19.2439 to 19.2638)	25/25	52/51
	Sample age <5000	0.02/0.0142 (0.0111 to 0.0173)	20/17.354 (4.4083 to 30.2991)	10/1.489 (0 to 18.5993)	–	–
B5	Sample age >5000	0.02/0.0196 (0.019 to 0.0202)	30/26.409 (11.1997 to 41.6184)	10/11.429 (7.1825 to 15.6759)	25/27	52/51
	Sample age <5000	0.02/0.0215 (0.0183 to 0.0246)	30/14.3 (0 to 68.176)	10/1.554 (0 to 16.5985)	–	–
B6	Sample age >5000	0.02/0.0199 (0.0192 to 0.0206)	40/85.415 (41.6058 to 129.2248)	10/9.02 (7.2853 to 10.7538)	25/6	52/51
	Sample age <5000	0.02/0.0163 (0.0112 to 0.0213)	40/10.403 (0 to 22.533)	10/22.623 (12.0841 to 33.1614)	–	–