Description Format Note References
Also known as the Common 'Amakihi, a type of Hawaiian honeycreeper
A data frame with 1487 rows and 12 variables
Region.Label | strata names (seven strata) |
Area | size of study area (set to 0) |
Sample.Label | transect ID |
Effort | number of visits to point |
object | object ID |
distance | radial distance (m) |
Month | month survey conducted (not used) |
OBs | observer ID (note capitalisation of variable name) |
Sp | species code (COAM) for all detections |
MAS | Time after sunrise (min) |
HAS | Time after sunrise (hours) |
Study.Area | name of study area |
Example for investigating covariates in the detection function. Note high colinearity between two measures of time since sunrise. Convergence problems can result from models with several factor covariates.
Marques, T.A., L. Thomas, S.G. Fancy and S.T. Buckland. (2007) Improving estimates of bird density using multiple-covariate distance sampling. The Auk 124 (4): 1229–1243. https://doi.org/10.1642/0004-8038(2007)124[1229:IEOBDU]2.0.CO;2.
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