#' Unfold a scene with a warp operation
#'
#' @param data data frame with x, y, id, and more
#' @param iterations how many times should we iterate the noise?
#' @param scale how large is each step?
#' @param scatter should the noise seed be "scattered"?
#' @param output name of the output variable (default = time)
#'
#' @return thing
#' @export
unfold_warp <- function(
data = scene_sticks(), # seed points
iterations = 6, # how many iterations?
scale = .02, # size of the noise step
scatter = FALSE,
output = "time"
) {
# check for seed value
if(scatter == FALSE) seed <- data$seed[1]
if(scatter == TRUE) seed <- NULL
n <- nrow(data)
data[[output]] <- 1 # initial value for the "time" output
do_step <- function(data, time) {
# generate the noise
noise_x <- ambient::gen_simplex(
x = data$x,
seed = seed
)
noise_y <- ambient::gen_simplex(
x = data$y,
seed = seed
)
# update the co-ordinates
data$x <- data$x + noise_x * scale
data$y <- data$y + noise_y * scale
# increment the "time" dimension
data[[output]] <- time
return(data)
}
# accumulate
ribbon <- purrr::accumulate(
.x = (1:iterations) + 1,
.f = do_step,
.init = data
)
ribbon <- dplyr::bind_rows(ribbon)
return(ribbon)
}
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