Table 4. Percent change of each simulated search strategy for total contacts compared to the empirical search strategy across 3 different target distributions.

Table entry format is identical to Table 3. These values correspond to Fig 3C and 3D. Brownian motion, bootstrap and LogMCRW are not significantly different from the observed distribution of efficiencies when targets are more clustered (in bold), but power law search underestimates the efficiency of search for total contacts.

	Search Strategy
Target Distribution	Brownian	CRW	Lognormal	Bootstrap	LogMCRW	Power Law
10 μm (0.2)	8.7 ± 1.16	12.94 ± 1.34	7.24 ± 3.25	0.73 ± 2.59	8.4 ± 3.66	-28.66 ± 2.43
	p < 10−4, 0.29	p < 10−4, 10−3	p < 0.01, 0.05	p = 0.63, 10−4	p < 10−3, 0.73	p < 10−4, 10−4
20 μm (0.32)	12.71 ± 1.52	15.67 ± 1.54	9.22 ± 2.72	2.29 ± 2.72	12.18 ± 2.64	-26.27 ± 4.14
	p < 10−4, 0.87	p < 10−4, 10−4	p < 0.05, 0.05	p = 0.19, 10−4	p < 10−4, 0.8	p < 10−4, 10−4
40 μm (0.44)	17.71 ± 1.86	20.89 ± 1.58	13.07 ± 3.24	4.52 ± 2.51	16.31 ± 2.69	-24.08 ± 4.4
	p < 10−4, 10−4	p < 10−4, 10−4	p < 10−4, 10−4	p < 0.05, 10−4	p < 10−4, 10−4	p < 10−4, 10−4