Using a catalogue of over 60 seismoacoustic events compiled for a diverse variety of source-types we estimate probabilistic locations using seismic and acoustic phenomena, both individually, and combined. Previous studies have shown that combining seismic and acoustic observations can improve location estimates under specific circumstances. By examining a wide variety of seismoacoustic arrivals we further explore the capabilities and limitations of seismoacoustic event locations. The size and shape of the confidence region associated with a given event location is dependent on pick and model uncertainty, thus, accurate estimates of these parameters are crucial. Errors in arrival time picking depend on the signal-to-noise ratio at the station and the arrival properties. Here, we employ an amplitude based bootstrapping approach to approximate a data driven pick uncertainty for infrasound arrivals. To account for simplistic atmospheric models, estimates of travel time variations using celerity predictions based on ground truth locations are used to obtain phase dependent model uncertainties as a function of distance. The resulting event locations are then statistically compared by source, arrival, and instrument type to demonstrate the applicability of seismoacoustic event location analysis under different circumstances. [SNL is managed and operated by NTESS under DOE NNSA Contract DE-NA0003525.]