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As a GIScientist, my main interest at #BES2020 are talks that do creative/unusual things with spatio-temporal data (usually movement + environmental). Here are some that I found cool, in no particular order. I will add to this as I watch my way through program @BES_Move_SIG 1/n
Here's a cool data fusion: @MichalSmielak links real-time moonlight illumination to animal location data. Useful to study the effect of the Moon on migratory navigation of e.g. birds? And adding weather data (cloud cover) would make it even cooler. #BES2020 @BES_Move_SIG 2/n
@MartaAcacio from @BirdsMove studies differences in migratory behaviour of Portuguese storks and links trajectories to the European weather model. Also uses trajectory straightness measures to explain differences between juvenile and adult migration. #BES2020 @BES_Move_SIG 3/n
@JRedcliffe from @MovingAnimals presents a multi-sensor analysis of energy use during movement. Infers detailed movement from acc/mag/gps, 3D path from air pressure and fuses with slope/habitat rasters to study use of energy for 6 species of ungulates. #BES2020 @BES_Move_SIG 4/n
