rts_map_raster: Map representation of Geographical Time Series (on a grid)

In InstitutoInvestigacionesEconomicasPUCE/geortsBeta: Reconstruction of Geographical Time Series

Description

This function build an dynamic map, which represents the geographical time series on a grid

Usage

rts_map_raster(TS, positions.TS, weights.TS = NULL, RTS = NULL,
  positions.RTS = NULL, type = c("2D", "3D", "2D+3D", "2D-dynamic",
  "3D-dynamic"), k = 1, fpss = 5, windowsize = c(700, 700),
  save.plot = TRUE, file.name = "plot", nx.grid = 50, ny.grid = 50,
  type.grid = c("square", "convex"), ...)

Arguments

TS	is a object of class "ts" (time series), with ncol()>2
positions.TS	is a data frame that containing longitude (lon) and latitude (lat) asociated to time series in TS.
weights.TS	is a data frame that containing weights (of influence) of time series in TS.
positions.RTS	is a data frame that containing values of longitude (lon) and latitude (lat) of each time serie to be reconstructed. If positions.RTS=NULL, then positions.RTS is calculated as a grid of points into a square that contains all points of positions.TS.
type	is the type of plot to be shown, available options are: "2D","3D","2D+3D", "2D-dynamic","3D-dynamic"
k	Represent the number of time serie (column of TS). Is used only if type parameter is set as one of following options: "2D","3D" or "2D+3D"
fpss	is the number of frames per second. Is only used for types: "2D-dynamic" or "3D-dynamic"
windowsize	is a vector that contain width and height
save.plot	set as TRUE for save the plot
file.name	is a character for name of saved plot
nx.grid	is a interger that represents the number of points of longitude log(new positions) of the grid.
ny.grid	is a interger that represents the number of points of latitude lat(new positions) of the grid.
type.grid	Typo of grid to build, available options are: "convex","square"
...	Arguments passed to geoRts, or plot_gg function from rayshader package

Value

returns a object of class "leaflet", that contain a animated map with points that represents the time series in it's geographical positions

InstitutoInvestigacionesEconomicasPUCE/geortsBeta documentation built on June 17, 2020, 7:06 a.m.