get_habitat_use: Calculate habitat utilization from ranging data and...

In camposfa/paceR: Tools for working with the PACE Database

Description

Creates dataframe that contains various information on habitat use for each group and time interval
spdf_50, spdf_70, spdf_95 contain objects of class 'SpatialPolygonDataFrame' (see package 'sp' for futher information)
ud contains object of class 'estUD' (see 'adehabitatHR' for further information)
Note: use intervals that start on first of each month when using with fruit biomass calculation (because of monthly phenology data)

Usage

get_habitat_use(ranging_waypoints, start_date = NULL,
  ints_per_year = 1, hr_periods = NULL, min_nb_reloc = NULL,
  dir_to_files = NULL)

Arguments

start_date	Begin of first time interval. By default (NULL), Jan 1st of the earliest timestamp in ranging dataset - NOT YET IMPLEMENTED
ints_per_year	Default is 1 (i.e. yearly homeranges). Set to NULL if not needed. Currently implemented: 12 (1 month-intervals) 8 (1.5 months-intervals) 4 (3 months-intervals) 2 (6 months-intervals) 1 (1 year-intervals)
hr_periods	If custom periods for home ranges are required (e.g. 05-02-2012 - 20-07-2012). Default is NULL. Create object of type: data.frame(date_begin = start_vec, date_end = end_vec) With start_vec including all start_dates and end_vec all end_dates Note: 'ints_per_year' is ignored if both are specified
min_nb_reloc	Minimum number of location points per interval. Intervals for which the data are too sparse are removed. Default (NULL) uses Fernando's criteria: 96 pts (~8 full days) for monthly home range 192 pts (~16 full days) for quarterly home range 384 pts (~32 full days) for half-yearly home range 768 pts (~64 full days) for annual home range
dir_to_files	Directory in which the necessary datafiles are included, e.g. 'paste0(getwd(), "/data")'
ranging_waypoint	Table with ranging waypoint - MORE SPECIFICS

camposfa/paceR documentation built on May 23, 2020, 5:54 a.m.