This function generates, for each queried polygon, a spreadsheet of all species detected on at
least one checklist. For each season (see Details), an estimated abundance classification
is provided (see Details) if a minimum number of complete checklists
available. Regardless, the total number of checklists (complete or not) on which each species
was observed in each season is reported. Likewise, the amount of effort (# of complete and
total checklists) is reported by season.
integer or numeric vector of length = 1 indicating the minimum number of complete eBird checklists to require in a given season before assigning a seasonal abundance classification
logical indicating whether observations from the slightly nebulous "form" category should be excluded (default = TRUE). Setting to FALSE may add certain species (e.g., Red Crossbill) but also more controversial entries (e.g., Northern Red-tailed Hawk)
logical indicating whether to output nicely formatted *.xls file (TRUE; default) or to
logical indicating whether a sheet formatted for easy importing into the NWRSpecies database is requested (default = FALSE); only applies if 'xls = TRUE'.
character string of the file path to the directory in which to save output spreadsheets
Seasons are classified as follows: spring (Mar - May), summer (Jun - Aug), fall (Sep - Nov),
and winter (Dec - Feb). Note, this corresponds roughly to the seasonal bird checklists
present in many National Wildlife Refuge brochures (which may have had a small part in the
decision to use this classification). For monthly patterns of eBird detections by species,
relative to eBird effort (i.e., # checklists), see
Abundance designations are classified based on the proportion of complete checklists on
which a given species occurs. The
min_lists argument allows the user to determine the
number of checklists necessary to even attempt such a designation. The default is 10 complete
checklists, although a larger minimum (e.g., 50 or 100) is probably a more reasonable choice for
generating an estimate of species relative abundance. Abundance classifications (proportion of
complete checklists) are: Abundant (A; > 0.50), Common (C; (0.3 - 0.5]), Uncommon (U; (0.2 -
0.3]), Occasional (O; (0.1 - 0.2]), Rare (R; (0.01 - 0.1]), and Vagrant (V; <= 0.01). Notice
that the cutoff for a "Vagrant" designation requires at least 100 checklists; with fewer checklists
this designation is lumped with "Rare".
a Microsoft Excel spreadsheet for each distinct polygon (i.e., each (
xls = TRUE or a
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## Not run: # Get shapefile SErefuges <- rgdal::readOGR("../GIS", "refuges", verbose = FALSE, stringsAsFactors = FALSE) # Query eBird records within Piedmont NWR and 10 km buffer piedmont <- geo_ebird(SErefuges, which_polys = "Piedmont", buffers = c(0, 10)) # Generate .xls spreadsheet contain abundance, occurrence, and effort information # Require 100 complete checklists to generate abundance classification make_checklists(piedmont, min_lists = 100) ## End(Not run)
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