Algorithm 2.

Routine Hyptest

input: signals X (N sources) and coordinates POS (N × 3), threshold level αthresh, averaging window δ

for n = 1 to N do

run likelihood ratio test on source n in time step δ (T steps)

compute statistics sn = [sn1, …, snT] and corresponding p-values pn = [pn1, …, pnT]

for t = 1 to T do

if pnt < αthresh then

obtain 3-D coordinates POSn = [x, y, z]n

store cnt = [t, POSn] in C

store n and t in N* and T*, respectively

end if

t ← t + 1

end for

n ← n + 1

end for

output: 4-D spatiotemporal coordinates C = {cnt |n ∈ N*, t ∈ T*}