opp_sites | R Documentation |
This function generates key biological areas that are usable in the context of OPP risk mitigation. By default, the function will delineate areas that are used by at least 10%, 50%, 75%, and if possible, 95% of the population. If a population number is provided, it will also calculate an estimate of the number of individuals using a given area. By providing a list of percentile thresholds, the user can also specify their own custom percentile threshold values.
opp_sites(
kernels,
repr,
population = NA,
level_ud = 95,
thresh = c(10, 50, 75, 95),
metadata = list(),
save_shp = FALSE,
out_name = NA,
out_dir = NA
)
kernels |
Output of class estUDm from either opp_kernels, opp_bbmm, or adehabitatHR::kernelUD. |
repr |
Numeric (0-100). Representativeness of the sample, derived from track2KBA::repAssess. |
population |
Numeric (optional). Total number of individuals at a given study site. Used to calculate the number of individuals that use a given polygon area. |
level_ud |
Numeric (0-100). Utilization distribution level to extract from kernels prior to calculating high-use areas. Defaults to 95. |
thresh |
List of percentile threshold values to calculate high use areas. By default, the function will calculate polygons for the 10th, 50th, 75th, and 95th percentile use areas ( |
metadata |
List of additional metadata you wish to append to the output. E.g., |
save_shp |
Logical (T/F). Should the output be saved as a shapefile (.shp)? |
out_name |
Character string. Filename for output shapefile. Defaults to 'opp_sites' if none provided and save_shp = TRUE. |
out_dir |
Character string. Output directory for saved shapefile, relative to the current working directory. Defaults to the current working directory if no value provided. |
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