plotts: Plot multiple time series with different data ranges

In jreiche/bayts: Probabalistic approach to combine multiple time series and Bayesian probability updating for near real-time forest change detection

Description

Plot multiple time series with different data ranges.

Usage

plotts(tsL = list(), ylimL = list(), labL = list(), colL = list(),
  xlim = NULL, pointsL = NULL, title = "")

Arguments

tsL	list of object(s) of class ts
ylimL	list of objects(s) of y limits (x1, x2) for tsL. The default value is NULL, indicating that the ylim are set to the min and max value of ts1
labL	list of objects(s) of title for tsL
colL	list of objects(s) of colour for tsL
xlim	range of x-axis value; default is the range of the time series
pointsL	list of TRUE and FLASE. (default = NULL = points are plotted for all time series)
title	plot title

Author(s)

Johannes Reiche (Wageningen University)

Examples

# load example ts data (Sentinel-1 and Landsat NDVI time series; 09/2014 - 05/2016; Deforestation event in early 2016)
data(s1vv_lndvi_pixel)

# create ts using bfastts (bfast package)
tsS <- bfastts(s1vv_obs,as.Date(s1vv_date),type=c("irregular"))
tsL <- bfastts(lndvi_obs,as.Date(lndvi_date),type=c("irregular"))

# plot ts
plotts(tsL=list(tsL,tsS),labL=list("Landsat NDVI","Sentinel-1 VV [dB]"))
plotts(tsL=list(tsL,tsS),labL=list("Landsat NDVI","Sentinel-1 VV [dB]"),ylimL=list(c(0,1),c(-13,-6)))

jreiche/bayts documentation built on Feb. 3, 2021, 1:12 a.m.