plotMap3D: Plots time slice map of a spatio-temporal model from...
In Pandora-IsoMemo/iso-app: Pandora & IsoMemo spatiotemporal modeling

plotMap3D

R Documentation

Plots time slice map of a spatio-temporal model from estimateMap3D() function

Description

Plots time slice map of a spatio-temporal model from estimateMap3D() function

Usage

plotMap3D(
  model,
  time,
  IndSelect = NULL,
  estType = "Mean",
  estQuantile = 0.9,
  points = TRUE,
  pointSize = 1,
  StdErr = Inf,
  rangex = range(model$data$Longitude, na.rm = TRUE),
  rangey = range(model$data$Latitude, na.rm = TRUE),
  rangez = NULL,
  contourType = c("filled.contour", "contour"),
  limitz = "none",
  centerMap = "Europe",
  addU = 0,
  pointShape = 4,
  pColor = "#000000",
  colorsP = NULL,
  showModel = TRUE,
  textLabels = NULL,
  pointLabels = NULL,
  pointColLabels = NULL,
  fontSize = 11,
  mask = FALSE,
  maskRadius = 100,
  showScale = TRUE,
  fontType = "sans",
  fontCol = "black",
  resolution = 100,
  interior = TRUE,
  ncol = 10,
  colors = "RdYlGn",
  reverseColors = FALSE,
  dataCenter = NULL,
  RadiusBatch = 100,
  terrestrial = 1,
  grid = TRUE,
  arrow = TRUE,
  scale = TRUE,
  titleMain = TRUE,
  titleScale = TRUE,
  setAxisLabels = FALSE,
  mainLabel = "",
  yLabel = "Latitude",
  xLabel = "Longitude",
  scLabel = "",
  northSize = 0.2,
  scalSize = 0.1,
  scaleX = 0,
  scaleY = 0.1,
  NorthX = 0.025,
  NorthY = 0.925,
  AxisSize = 1,
  AxisLSize = 1,
  cluster = FALSE,
  clusterAll = "0",
  clusterResults = 0,
  clusterCol = "Set1",
  pointDat = NULL,
  plotRetNull = FALSE
)

Arguments

`model`	return object of a spatio-temporal model from estimateMap3D() function
`time`	time slice value for map
`IndSelect`	for categorical model: selected category
`estType`	one of "Mean", "SE" and "Quantile". defaults to "Mean"
`estQuantile`	quantile (only applicable if estType = "Quantile")
`points`	show points on map TRUE/FALSE
`pointSize`	point size (if points = TRUE)
`StdErr`	maximum standard error to which estimates are displayed
`rangex`	range of longitude values (x axis limits)
`rangey`	range of latitude values (y axis limits)
`rangez`	range of estimated values (z axis limits)
`contourType`	one of "filled.contour" or "contour"
`limitz`	restrict range of z (possible values "0-1", "0-100")
`centerMap`	center of map, one of "Europe" and "Pacific"
`addU`	numeric: years of added uncertainty for time sliced 2D-convex hull
`pointShape`	pch shape of location marks
`pColor`	color of location marks drawn
`colorsP`	color scale of location marks
`showModel`	show model
`textLabels`	text labels
`pointLabels`	point size labels
`pointColLabels`	point colour labels
`fontSize`	font size
`mask`	boolean: Show output within range of points
`maskRadius`	numeric: Show output within range of points in km
`showScale`	show colour scale
`fontType`	font type
`fontCol`	font color
`resolution`	spatial grid resolution of displayed (higher is slower but better quality)
`interior`	show only convex hull 0 "none", 1 "3D", 2 "time sliced 2D"
`ncol`	number of colors for estimates
`colors`	color scheme of estimates from RColorBrewer. defaults to "RdYlGn"
`reverseColors`	inverse colour scheme
`dataCenter`	optional data.frame with three columns (longitude / latitude / time)
`RadiusBatch`	radius of batch spatial point estimates
`terrestrial`	show only estimates on land masses (1), oceans (-1) or all (0)
`grid`	show coordinate grid TRUE/FALSE
`arrow`	display north arrow TRUE/FALSE
`scale`	display scale TRUE/FALSE
`titleMain`	show main title
`titleScale`	show scale title
`setAxisLabels`	show axis/main/scale labels
`mainLabel`	main label
`yLabel`	y lab label
`xLabel`	y lab label
`scLabel`	scale lab label
`northSize`	size of north arrow
`scalSize`	size of scale
`scaleX`	scale x orientation
`scaleY`	scale y orientation
`NorthX`	north arrow x orientation
`NorthY`	north arrow y orientation
`AxisSize`	axis title font size
`AxisLSize`	axis label font size
`cluster`	show clusters
`clusterAll`	show all cluster points
`clusterResults`	temporal groups or spatial clusters
`clusterCol`	Cluster colors
`pointDat`	data frame of points to add to plot
`plotRetNull`	return predictions