Description Usage Arguments Value Author(s)
Prepares data for Hurdle model fitting
1 |
det.fn |
Detection function fitted by ds. |
obsdata |
Dataframe object containing 4 columns: (1) 'Sample.Label' (i.e. label for segments), (2) 'size' for cluster size, (3) 'distance' (in km) for perpendicular distance of sighting from the transect line, and (4) 'Effort' for segment length (in km). |
segdata |
Dataframe object with at least 3 columns: (1) 'Transect.Label' (i.e. label for transects), (2) 'Sample.Label' (i.e. label for segments), and (3) 'Effort' for segment length (in km). It may also contain additional columns with relevant habitat covariates specific to each segment that will be fed into the spatial model. |
group |
If TRUE group abundance is estimated (i.e. 'size' = 1). |
strip.width |
Transect strip width to calculate segment area if area is not provided. |
Input dataframe 'segdata' with an additional column for animal abundance ('abund') corrected by the detection probability estimated by ds. If they are not included, a column for presence-absence ('pa') is added together with one for segment area (Effort*w, i.e. the strip width estimated by ds).
Filippo Franchini filippo.franchini@outlook.com
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