Description Usage Arguments Value Author(s) Examples
View source: R/simulate_samples.R
This function simulates a sits_tibble using random data. The time series are simulated using a cosine function.
1 2 3 4 5 6 7 8 9 10 11 12 | sim_sits_tibble(
n_samples,
label = "label_A",
lon_mean = -65,
lon_sd = 1,
lat_mean = -5,
lat_sd = 1,
date_start = "2000/01/01",
date_end = "2000/12/31",
obs_freq = 23,
n_vi = 1
)
|
n_samples |
A length-one numeric. The number of samples per label. |
label |
A character. The labels for returned tibble. The default is "label_A". |
lon_mean |
A length-one numeric. The central longitude of the random samples. The default is 65 degrees est. |
lon_sd |
A length-one numeric. The standard deviation of the longitude of the random samples. The default is 1. |
lat_mean |
A length-one numeric. The central latitude of the random samples. The default is 5 degrees south. |
lat_sd |
A length-one numeric. The standard deviation of the latitude of the random samples. The default is 1. |
date_start |
A length-one character.The start date. The default is "2000/01/01". |
date_end |
A length-one character.The start date. The default is "2000/12/31". |
obs_freq |
A length-one numeric. The number of observations in the period. The default are 23. |
n_vi |
A length-one numeric. The number of vegetation indexes on each sample. The default is 1. |
random_st A sits_tibble
Alber Sanchez, alber.ipia@inpe.br
1 2 3 4 | library(sits.prodes)
library(sits)
my_st <- sim_sits_tibble(10, label = c("A", "B"))
sits_plot(my_st)
|
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