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Extract the result of a single time series from an object of class beast
tsextract( x, index = 1 )
A LIST object of the result for the chosen time series, which contains the same field as x
.
a "beast" object returned by beast
, beast.irreg
, or beast123
. It may contain one or many time series.
an integer (default to 1 ) or a vector of two integers to specify the index of the time series to extract if x
contains results for multiple time series. If x
has 1 time series, index
should be always 1. If x
is returned by beast123
applied to a 2D input,index
should be a single index. If x
is from beast123
applied to 3D arrays of time series (e.g., stacked satellite images), index
can be a linear index or two subscripts to specify the row and column of the desired pixel/grid.
Zhao, K., Wulder, M.A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X. and Brown, M., 2019. Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm. Remote Sensing of Environment, 232, p.111181 (the beast algorithm paper).
Zhao, K., Valle, D., Popescu, S., Zhang, X. and Mallick, B., 2013. Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection. Remote Sensing of Environment, 132, pp.102-119 (the Bayesian MCMC scheme used in beast).
Hu, T., Toman, E.M., Chen, G., Shao, G., Zhou, Y., Li, Y., Zhao, K. and Feng, Y., 2021. Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 176, pp.250-261(a beast application paper).
beast
, beast.irreg
, beast123
, minesweeper
, tetris
, geeLandsat
library(Rbeast)
data(simdata)
# \donttest{
# handle only the 1st ts
out=beast(simdata[,1])
# }
if (FALSE) {
# handle all the ts
out=beast123(simdata, metadata=list(whichDimIsTime=1))
plot(out,1)
plot(out,2)
}
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