Supplement 1. Example data and R code.

File List
available_habitat.txt
- data file representing the available habitat

gps_locations.txt
- data file representing the GPS location data

Rcode.R
- R code to analyze the example data using the RSF likelihood for GPS fix success

all_files.zip
- all files at once

Description
Rcode.R analyzes the example data, which is one of the simulated data sets with 90% GPS fix success contained in the Nielson et al. paper. There are two data files (available_habitat.txt and gps_locations.txt) representing the available habitat and the GPS location data, respectively. The example data can be analyzed by saving both data files to a working directory, opening an R session and copying and pasting all text below at the R command prompt. Select quantities are output to the terminal. The description of columns in the data files is provided below.
In available_habitat.txt:

(1) utmX = utm easting coordinate of habitat unit

(2) utmY = utm northing coordinate of habitat unit

(3) unit.id = habitat unit ID

(4) prcnt.sage = % Wyoming Big Sage

(5) elevation = elevation (km)

In gps_locations.txt:

(1) unit.id = habitat unit of GPS location (missing = NA)

(2) fix.attempt = sequential fix attempt number

Column sums for 'available_habitat.txt" (in order):

utmX = 4.985109e+7 = 0.0000004985109

utmY = 8.483487e+8 = 0.00000008483487

unit.id = 1.7205e+4 = 0.00017205

prcnt.sage = 1.06875e+4 = 0.000106875

elevation = 3.795941e+2 = 0.03795941

Column sums for "gps_locations.txt" (in order):

unit.id = 42761 (note some "NA" values, which indicate missing)

fix.attempt = 98790