sim_sits_tibble: Simulate a sits_tibble made of random observations

In albhasan/sits.prodes: What the Package Does (One Line, Title Case)

Description

This function simulates a sits_tibble using random data. The time series are simulated using a cosine function.

Usage

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
)

Arguments

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.

Value

random_st A sits_tibble

Author(s)

Alber Sanchez, [e-mail]

Examples

library(sits.prodes)
library(sits)
my_st <- sim_sits_tibble(10, label = c("A", "B"))
sits_plot(my_st)

albhasan/sits.prodes documentation built on Sept. 3, 2020, 2:03 p.m.