hi folks,
a great opportunity for some discussion that I think gets missed in other forums.
As a data contributor, manager and user in the conservation field, it would be great to hear how/which NS eBird data are being used by amateurs, academics, industry, NGOs, and also get feedback from others on what makes data most useful for their projects. For example, any and all observations submitted are likely useful for something at some point in time, but only a subset will be useful for local-scale conservation and planning. There are lots of reasons people are submitting data to eBird, but if they hope their data will be used for science, conservation, planning, it might be informative for them to know what type of eBird data is most useful for what types of projects.
A specific example of this is 'hotspotting' (i.e., setting the checklist location as the hotspot location instead of the true location surveyed). In my mind hotspotting has evolved mostly (only?) because eBird has developed summary tools specifically for hotspots (recent checklists, cumulative lists, last seen, first seen, bar charts..) as opposed to for user-defined areas. Hotspotting means that the precise locations for birds are lost which might be especially problematic (from a conservation standpoint) when hotspots cover large areas. Essentially, by only allowing summaries at the hotspot scale, eBird is making assumptions about the scale at which the data are most useful by data users. One solution to this could be to put size limits on hotspots, and then develop summary tools for 'super' areas like Mark mentions. Another solution could be to not allow a checklist to be ascribed to a general hotspot location, but a more precise location, and then the summary tools just consolidate data within polygon hotspot areas (like David suggests might happen?). Another solution could be for eBird or anyone else to develop more customizable summary tools where the summary area could be selected by the user (e.g., the user could choose to see summary data within a province/county/hotspot as usual, or a custom polygon they draw on the map, or a within a selected grid cell like a breeding bird atlas). Since most raw eBird data can be accessed via the ebird API logistically this would not be too difficult to accomplish.
It would also be fun, for those that were interested, to have some NS eBird, friendly competitions or goals. One idea could be to try to expand our understanding of bird distribution in the province by choosing to bird periodically in some of our NS eBird blindspots (e.g., most areas away from people and roads). Another could be to develop a grid of priority locations for the province where eBirders could carry out somewhat-standardized listening surveys or area searches if they were in the neighbourhood...
James Churchill