Replies: 1 comment 13 replies
-
Good question! We've tried this before, but never really followed through. Theoretically, we could try to use the recording times from Xeno-canto to estimate the call times of each bird species. Assuming that the recording times are local time, you could get a pretty accurate picture (with some biases of course, but eBird has those too). Here is what this would look like for a few selected species (normalized calling probability): It looks like we can correctly derive the diurnal calling patterns for each species. So we could add another filter to sort out owl detections during the day. Maybe a feature request for the near future :) In the meantime, if you want to play around with the numbers, you can find the raw data for all species below. Based on the number of recordings per hour, we normalized the call probability between 0 and 100. If there wasn't enough data for a species (the XC metadata is a mess), we used 100 for each hour: |
Beta Was this translation helpful? Give feedback.
-
How feasible it would be to add time of day filter? I guess large number of species are either diurnal or nocturnal so time of day could be used to filter our false positives. Is such data available at eBird or in any other database?
Beta Was this translation helpful? Give feedback.
All reactions