The Citizen-based mosquito monitoring system is a Citizen-Science vector tracking project that involves using any of a wide variety of cell phones to capture "sound bites" (sorry!) of mosquitos. These are collected and analyzed in order to gain some insight into the distribution of different species of mosquitos at different times and locations. Attention is paid to ensure the system works with older model phones that are distributed more widely.
While a positive identification of a single insect form a single recording is not likely this way, over time a statistical analysis is expected to give meaningful information. I believe the idea is that similar sounding species are expected to not be in similar places at similar times so often that it muddles the identification too much. This is citizen-science; imperfection is not a deal-breaker.
I was happy to see that there is a BioRvix paper. In fact, I was surprised to see there is such at thing as BioRvix in the first place!
The principle is illustrated in Figure 5, and some of the argument behind species differentiation is illustrated in Figure 7, and screenshots of both are shown below.
I think there is a lot of information densely packed within the figures, and I'd like to understand more of it. In the second figure below, which is Figure 7 in the paper, what does the color scale and color coding represent?
There seems to be some suggestion of time of day as well, but I don't understand exactly how. What about time of year - that should also play a major role.