Create report for sites with most unseen species
Usage
SitesReport(
centers,
ebird_key,
species_seen,
center_names = NULL,
report_filename = "Goals-Report",
report_dir = getwd(),
report_format = c("html", "pdf"),
max_sites = 5,
dist = 50,
back = 4,
hotspot = TRUE,
include_provisional = FALSE,
max_tries = 5,
timeout_sec = 30,
messages = c("minimal", "none", "verbose"),
drop_patterns = c("sp\\.", "\\/", "Domestic type", "hybrid"),
include_maps = TRUE
)
Arguments
- centers
Numeric vector or matrix of latitude and longitude coordinates; vector should be of length 2, e.g.
c(latitude, longitude)
, while matrix should have two columns (first column is latitude, second column is longitude).- ebird_key
Character vector with eBird API key.
- species_seen
Character vector of species that have already been seen.
- center_names
Character vector of names to use for each pair of latitude and longitude coordinates in
centers
.- report_filename
Name of output file without file extension (see
report_format
); e.g. ifreport_filename
is "sites-2021" andreport_format
is "html", the report will be saved to sites-2021.html.- report_dir
Destination folder for the output file; if
NULL
, report will be saved to working directory.- report_format
File format for report; takes one of two values: "html" or "pdf".
- max_sites
Maximum number of sites to return for each pair of coordinates defined in
centers
; maximum is 12.- dist
Numeric radius in kilometers of distance from each geographic center point defined by coordinates in
centers
from which to return recent observations.- back
Number of days back to search for observations.
- hotspot
Logical indicating whether or not to restrict results to hotspot locations.
- include_provisional
Logical indicating whether not to include observations which have not yet been reviewed.
- max_tries
Maximum number of query attempts to try (only for expert use).
- timeout_sec
Integer time to allow before query is aborted (only for expert use).
- messages
Character indicating the degree to which messages are printed during the report assembly process. Options are "minimal", "none", or "verbose".
- drop_patterns
Character vector of patterns in species' names to exclude certain species from consideration, such as domesticated species, hybrids, and observations not identified to species level (e.g. "Toxostoma sp."). The function uses
grep
withfixed = FALSE
to identify which species to exclude, hence the backslashes in the default values indrop_patterns
.- include_maps
Logical vector indicating whether or not to draw maps of identified sites; should be length 1 or the number of centers (i.e. same length as
centers
ifcenters
is a vector, same number of rows ascenters
ifcenters
is a matrix).
Value
Silently returns a list with two named elements:
- results_list
A list where each element is a list of the results of queries for a center. Each element is a list with two named elements:
- report_details
A list containing the settings used to build this report, such as days back and distances.
Details
The function uses the eBird API (see https://documenter.getpostman.com/view/664302/S1ENwy59/) to build the report. Queries to the eBird API require a user key; you can request an eBird API key by logging into your eBird account and navigating to https://ebird.org/api/keygen/. See examples and vignette for using your eBird API key.
Examples
if (FALSE) { # \dontrun{
# Read in data downloaded from eBird
list_file <- system.file("extdata", "example-list.csv", package = "lifeR")
user_list <- read.csv(file = list_file)
# Only common names are required
my_species <- user_list$Common.Name
# Read in eBird API key from a text file
key <- scan(file = "ebird-key.txt", what = "character")
# A single center requires vector of coordinates
locs <- c(45, -109)
SitesReport(centers = locs, ebird_key = key,
species_seen = my_species)
# For multiple centers, pass a matrix to centers argument
loc_mat <- matrix(data = c(33, -109, 39, -119.1), nrow = 2, byrow = TRUE)
loc_names <- c("Brushy Mountain", "Yerington")
SitesReport(centers = loc_mat, ebird_key = key,
species_seen = my_species, center_names = loc_names)
} # }