moose12687: Radio telemetry data for one Minnesota moose (ID #12687) from...
In aaarchmiller/uhcplots: Used-Habitat Calibration Plots (UHC Plots)
Description
Usage
Format
Source
See Also
Description
A dataset including presence locations and randomly-generated available
locations of a moose in Minnesota in 2013 and 2014. Data was derived
from Street et al. (2016).
Usage
1
Format
A data frame with 15158 rows and 13 variables:
- CollarID
The unique identifier for the GPS collar.
- datetime
The timestamp for each record.
- stratum
The stratum identifier. One stratum is included for each
observed location (presence==1) and its associated available locations
generated by the random movement paths (presence==0).
- X
The X coordinate (meters; NAD1983 UTM Zone 15N).
- Y
The Y coordinate (meters; NAD1983 UTM Zone 15N).
- step
Step length (mm) from the previous location. Original step
length in meters was divided by 1000 to make coefficients similar within
the step-selection function. See Fieberg et al. (In Review) for more
information.
- bearing
The bearing relative to true north.
- presence
Binary indicator for each observed location (presence==0)
and its associated available locations generated by the random movement
paths (presence==0).
- decid50
Percent cover of deciduous forest from 2011 NLCD (Jin et
al. 2013).
- mixed50
Percent cover of mixedwood forest from 2011 NLCD (Jin et
al. 2013).
- conif50
Percent cover of conifer forest from 2011 NLCD (Jin et
al. 2013).
- treedwet50
Percent cover of treed wetlands from 2011 NLCD (Jin
et al. 2013).
- year
The year for each point (2013 or 2014).
Source
Original MN moose data was derived from Street et al. (2016)
(http://doi.org/10.1007/s10980-016-0372-z). National Land Cover Data
was derived from: Jin et al. (2013) A comprehensive change detection
method for updating National Land Cover Dataset to circa 2011, Remote
Sensing of the Environment. A full archive of the data and
code necessary to replicate the manuscript can be found at
http://doi.org/10.13020/D6T590
See Also
uhcsimstrat
aaarchmiller/uhcplots documentation built on May 10, 2019, 2:05 a.m.
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Description Usage Format Source See Also
Description
A dataset including presence locations and randomly-generated available locations of a moose in Minnesota in 2013 and 2014. Data was derived from Street et al. (2016).
Usage
1 |
Format
A data frame with 15158 rows and 13 variables:
- CollarID
The unique identifier for the GPS collar.
- datetime
The timestamp for each record.
- stratum
The stratum identifier. One stratum is included for each observed location (presence==1) and its associated available locations generated by the random movement paths (presence==0).
- X
The X coordinate (meters; NAD1983 UTM Zone 15N).
- Y
The Y coordinate (meters; NAD1983 UTM Zone 15N).
- step
Step length (mm) from the previous location. Original step length in meters was divided by 1000 to make coefficients similar within the step-selection function. See Fieberg et al. (In Review) for more information.
- bearing
The bearing relative to true north.
- presence
Binary indicator for each observed location (presence==0) and its associated available locations generated by the random movement paths (presence==0).
- decid50
Percent cover of deciduous forest from 2011 NLCD (Jin et al. 2013).
- mixed50
Percent cover of mixedwood forest from 2011 NLCD (Jin et al. 2013).
- conif50
Percent cover of conifer forest from 2011 NLCD (Jin et al. 2013).
- treedwet50
Percent cover of treed wetlands from 2011 NLCD (Jin et al. 2013).
- year
The year for each point (2013 or 2014).
Source
Original MN moose data was derived from Street et al. (2016) (http://doi.org/10.1007/s10980-016-0372-z). National Land Cover Data was derived from: Jin et al. (2013) A comprehensive change detection method for updating National Land Cover Dataset to circa 2011, Remote Sensing of the Environment. A full archive of the data and code necessary to replicate the manuscript can be found at http://doi.org/10.13020/D6T590
See Also
uhcsimstrat
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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