trajPlot: Creates a map and pie chart of the trajectories of the...

In binaryTimeSeries: Analyzes a Binary Variable During a Time Series

Creates a map and pie chart of the trajectories of the category of interest.

Description

Creates a map and pie chart of the trajectories of the category of interest.

Usage

trajPlot(
  input,
  pltunit = "m",
  dataEpsg = 32632,
  categoryName = "marsh's",
  scalePos = "bottomleft",
  narrowPos = "topright",
  narrowSize = 1,
  xAxis = "Longitude (m)",
  yAxis = "Latitude (m)",
  axisText = 1.2,
  axisLabel = 1.4,
  plotTitle = 1.5,
  legendTex = 0.9
)

Arguments

input	is the results from running the "trajData" function.
pltunit	is the unit in which the current map is plotted in, one of cm, m, km, in, ft, mi. or lat or lon.
dataEpsg	is the projection of the current map. If extents are valid lat and lons, the projection is assumed to be lat and lon (EPSG:4326), or Spherical Mercator otherwise.
categoryName	is a character representing the name of the category of interest.Default is "marsh".
scalePos	where to align the scale bar. One of "bottomleft", "bottomright", "topleft", or "topright".
narrowPos	is a numeric value indicating the size of the north arrow.
narrowSize	is a numeric value indicating the size of the north arrow.
xAxis	is a character indicating label for the horizontal axis. default is "Longitude (m)".
yAxis	is a character indicating label for the vertical axis. default is "Latitude (m)".
axisText	is a numeric value controlling the size of the text on the horizontal and vertical ticks.
axisLabel	is a numeric value controlling the size of the horizontal and vertical labels
plotTitle	is a numeric value controlling the size of the plot title.
legendTex	is a numerical value controlling the size of the legend text.

Value

The output from trajPlot

Examples

example_data <- terra::rast(system.file("external/Example_raster_Y.tif",package="binaryTimeSeries"))
no_data <- 2
cat_interest <- 1
data_res <- c(1000,1000)
data_prj <- "+proj=utm +zone=32 +datum=WGS84 +ellps=GRS80  +units=m +no_defs"
unified_resp <- "yes"
trajdt_output <- trajData(x = example_data,nodata = no_data,
category = cat_interest,spres = data_res,datacrs = data_prj,unified = unified_resp)
trjplt_output <- trajPlot(input = trajdt_output)

binaryTimeSeries documentation built on July 18, 2022, 5:07 p.m.