I think per location and for each year, but better take a look at the article (or webinar). But i think one knows the best observers. I saw a webinar and several people could guess who it was by just seeing the statisict of the profile. Not nowing the age, visitng areas or seasons…only profile statistics
I thought the whole calulation lasted 10 days, 240 hours but i never found the article. He had two talks, one in Belgium and one in the Netherlands i thought.
https://www.researchgate.net/publication/236655213_Estimation_of_vascular_plant_occupancy_and_its_change_using_kriging
https://forum.inaturalist.org/t/spatial-data-completeness/41390/11 The approach involves sophisticated statistics on a 10 km grid of plant observations.
https://forum.inaturalist.org/t/a-tool-to-help-you-fill-local-data-gaps-easily-missed/37575 pecies I should upload to iNat, so I came up with a small web application does that. The idea is that it helps us record the species are ‘easily missed’ because they’re common and you presume someone has probably already recorded it locally. You can find the tool here: https://simonrolph.github.io/easily_missed/ It then presents this data with a little map, some headline numbers for how many species are in the local area versus the region, and a “doughnut score” which is just a % of the previously mentioned. The idea is that if you record the suggested species you’d boost the area’s doughnut score and build a more complete picture of the wildlife in your local area https://forum.inaturalist.org/t/spatial-data-completeness/41390/12 https://forum.inaturalist.org/t/number-of-inaturalist-observations-gridded-data/16572