Table 3. Performance of atlas predictions for different data sets.
Provider | Location | Mode | Mean | σ | Scientist |
All data | Worldwide | Both | 0.008 | 0.17 | Mixed |
Various | Catalonia, Spain | Car | 0.03 | 0.14 | PS |
Universidad Complutense de Madrid | Madrid, Spain | Car | −0.04 | 0.17 | PS |
Kyba/Sanchez | Berlin, Germany | Car | 0.12 | 0.11 | PS |
Globe at Night | Worldwide | Hand | −0.21 | 0.34 | CS |
Haenel/Frank | Europe and North America | Hand | 0.05 | 0.17 | PS |
Unihedron | Worldwide | Hand | −0.01 | 0.24 | CS |
Loss of the Night app | Worldwide | Hand | −0.02 | 0.29 | CS |
Espey/Owens | Ireland | Hand | −0.08 | 0.14 | Mixed |
Royal Astronomical Society of Canada | Canada | Hand | −0.01 | 0.28 | CS |
Giubbilini | Italy | Hand | 0.03 | 0.09 | PS |
International Dark Sky Places | Wales | Hand | 0.01 | 0.27 | CS |
U.S. National Park Service | United States | CCD | 0.11 | 0.13 | PS |
Falchi | Italy | CCD | −0.04 | 0.19 | PS |
SQM stations | Worldwide | Permanent stations | −0.06 | 0.46 | Mixed |