dynBBMM: Total dynamic Brownian Bridge Movement Model

In YuriNiella/RSP: Refined Shortest Paths

Total dynamic Brownian Bridge Movement Model

Description

Calculates dynamic Brownian Bridge Movement Model (dBBMM) for each track and transmitter. Tracks shorter than 30 minutes are automatically identified and not included in the analysis.

Usage

dynBBMM(
  input,
  base.raster,
  tags = NULL,
  start.time,
  stop.time,
  timeframe = NULL,
  UTM,
  debug = FALSE,
  verbose = TRUE,
  window.size = 7,
  margin = 3
)

Arguments

input	The output of runRSP.
base.raster	The water raster of the study area. For example the output of shapeToRaster.
tags	Vector of transmitters to be analysed. By default all transmitters from runRSP will be analysed.
start.time	Sets the start point for analysis (format = "Y-m-d H:M:S").
stop.time	Sets the stop point for analysis (format = "Y-m-d H:M:S").
timeframe	Temporal window size for fine-scale dBBMM in hours. If left NULL, a single dBBMM is calculated for the whole period.
UTM	The UTM zone of the study area. Only relevant if a latlon-to-metric conversion is required.
debug	Logical: If TRUE, the function progress is saved to an RData file.
verbose	Logical: If TRUE, detailed check messages are displayed. Otherwise, only a summary is displayed.
window.size	The size of the moving window along the track. Larger windows provide more stable/accurate estimates of the brownian motion variance but are less well able to capture more frequent changes in behavior. This number has to be odd.
margin	The margin used for the behavioral change point analysis. This number has to be odd.

Value

List of calculated dBBMMs and metadata on each track used for the modelling.

Examples

# Import river shapefile
water <- actel::shapeToRaster(shape = paste0(system.file(package = "RSP"), "/River_latlon.shp"), 
size = 0.0001, buffer = 0.05) 

# Create a transition layer with 8 directions
tl <- actel::transitionLayer(x = water, directions = 8)

# Import example output from actel::explore() 
data(input.example) 

# Run RSP analysis
rsp.data <- runRSP(input = input.example, t.layer = tl, coord.x = "Longitude", coord.y = "Latitude")

# Run dynamic Brownian Bridge Movement Model (dBBMM)
dbbmm.data <- dynBBMM(input = rsp.data, base.raster = water, UTM = 56)

YuriNiella/RSP documentation built on Feb. 2, 2024, 5:03 a.m.