lsp_mosaic: Creates a raster mosaic

In Nowosad/lopata: Local Pattern Analysis

Creates a raster mosaic

Description

Creates a raster mosaic by rearranging spatial data for example regions. See examples.

Usage

lsp_mosaic(x, output = "stars")

Arguments

x	Usually the output of the lsp_add_examples() function
output	The class of the output. Either "stars" or terra

Value

A stars or terra object

Examples

# larger data example
library(stars)
library(sf)
landform = read_stars(system.file("raster/landform.tif", package = "motif"))
landform_cove = lsp_signature(landform,
                               type = "cove",
                               window = 200,
                               normalization = "pdf")

landform_dist = lsp_to_dist(landform_cove,
                            dist_fun = "jensen-shannon")

landform_hclust = hclust(landform_dist, method = "ward.D2")
plot(landform_hclust)

clusters = cutree(landform_hclust, k = 6)

landform_grid_sf = lsp_add_clusters(landform_cove, clusters)
plot(landform_grid_sf["clust"])

landform_grid_sf_sel = landform_grid_sf %>%
    dplyr::filter(na_prop == 0) %>%
    dplyr::group_by(clust) %>%
    dplyr::slice_sample(n = 16, replace = TRUE)

landform_grid_sf_sel = lsp_add_examples(x = landform_grid_sf_sel, y = landform)
landform_grid_sf_sel

landform_clust_m = lsp_mosaic(landform_grid_sf_sel)

plot(landform_clust_m)

Nowosad/lopata documentation built on April 15, 2024, 4:32 p.m.